- Sina Meraji, Carl Tropper:
A Machine Learning Approach for Optimizing Parallel Logic Simulation. ICPP 2010: 545-554 - Heriberto Casarrubias-Vargas, Alberto Petrilli-Barceló, Eduardo Bayro-Corrochano:
EKF-SLAM and Machine Learning Techniques for Visual Robot Navigation. ICPR 2010: 396-399 - Marcelo N. Kapp, Robert Sabourin, Patrick Maupin:
Adaptive Incremental Learning with an Ensemble of Support Vector Machines. ICPR 2010: 4048-4051 - Ashkan Sharifi Shamili, Christian Bauckhage, Tansu Alpcan:
Malware Detection on Mobile Devices Using Distributed Machine Learning. ICPR 2010: 4348-4351 - Lorenzo Jamone, Matteo Fumagalli, Giorgio Metta, Lorenzo Natale, Francesco Nori, Giulio Sandini:
Machine-learning based control of a human-like tendon-driven neck. ICRA 2010: 859-865 - Jane Cleland-Huang, Adam Czauderna, Marek Gibiec, John Emenecker:
A machine learning approach for tracing regulatory codes to product specific requirements. ICSE (1) 2010: 155-164 - Daniel Guerreiro e Silva, Mario Jino, Bruno Teixeira de Abreu:
Machine Learning Methods and Asymmetric Cost Function to Estimate Execution Effort of Software Testing. ICST 2010: 275-284 - Pierre-Christophe Bué, Frédéric Dadeau, Pierre-Cyrille Héam:
Model-Based Testing Using Symbolic Animation and Machine Learning. ICST Workshops 2010: 355-360 - Neng-Fa Zhou, Yoshitaka Kameya, Taisuke Sato:
Mode-Directed Tabling for Dynamic Programming, Machine Learning, and Constraint Solving. ICTAI (2) 2010: 213-218 - Christopher Fogelberg, Vasile Palade:
GreenSim: A Network Simulator for Comprehensively Validating and Evaluating New Machine Learning Techniques for Network Structural Inference. ICTAI (2) 2010: 225-230 - Md. Tawhidul Islam, M. Shaikh, A. Nayak, S. Ranganathan:
Biomarker information extraction tool (BIET) development using natural language processing and machine learning. ICWET 2010: 121-126 - Thomas Stibor:
A Study of Detecting Computer Viruses in Real-Infected Files in the n-Gram Representation with Machine Learning Methods. IEA/AIE (1) 2010: 509-519 - Ildefonso Martínez-Marchena, Llanos Mora López, Pedro J. Sanchez, Mariano Sidrach de Cardona:
Binding Machine Learning Models and OPC Technology for Evaluating Solar Energy Systems. IEA/AIE (3) 2010: 606-615 - Tera Marie Green, Ross Maciejewski, Steve DiPaola:
ALIDA: Using machine learning for intent discernment in visual analytics interfaces. IEEE VAST 2010: 223-224 - Stéphane Zieba, Frédéric Vanderhaegen, Philippe Polet:
Towards learning processes in a resilient human-machine system. IFAC HMS 2010: 386-391 - Alexander Gammerman:
Modern Machine Learning Techniques and Their Applications to Medical Diagnostics. AIAI 2010: 2 - Bahadorreza Ofoghi, John Zeleznikow, Clare MacMahon, Dan Dwyer:
A Machine Learning Approach to Predicting Winning Patterns in Track Cycling Omnium. IFIP AI 2010: 67-76 - Pu Wang, Wenxing Bao:
Wetland Information Extraction from RS Image Based on Wavelet Packet and the Active Learning Support Vector Machine. CCTA (3) 2010: 491-499 - Robert S. Woodley, Warren Noll, Joseph Barker, Donald C. Wunsch:
Automatic building identification using gps and machine learning. IGARSS 2010: 2739-2742 - Lorenzo Bruzzone, Claudio Persello:
Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms. IGARSS 2010: 3720-3723 - Rocio Guillén, Curtis Jensen, Stephen Edelson:
A machine learning approach for identifying subtypes of autism. IHI 2010: 620-628 - Saras Saraswathi, Andrzej Kloczkowski, Robert L. Jernigan:
An Extreme Learning Machine Classifier for Prediction of Relative Solvent Accessibility in Proteins. IJCCI (ICFC-ICNC) 2010: 364-369 - Moez Essaidi, Aomar Osmani:
Towards Model-driven Data Warehouse Automation using Machine Learning. IJCCI (ICEC) 2010: 380-383 - Siti Norbaiti Abdullah, Xiaoqin Zeng:
Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model. IJCNN 2010: 1-8 - Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella:
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. IJCNN 2010: 1-8 - KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Parallel tempering is efficient for learning restricted Boltzmann machines. IJCNN 2010: 1-8 - Wanyu Deng, Qinghua Zheng, Shiguo Lian, Lin Chen, Xin Wang:
Projection Vector Machine: One-stage learning algorithm from high-dimension small-sample data. IJCNN 2010: 1-8 - Christian Romero, José Mario García Valdez, Arnulfo Alanis Garza:
A comparative study of machine learning techniques in blog comments spam filtering. IJCNN 2010: 1-7 - Takahiro Sato, Kota Watanabe, Hajime Igarashi:
Acquisition of adaptive walking behaviors using machine learning with Central Pattern Generator. IJCNN 2010: 1-8 - Chi-Yung Yau, Kevin Burn, Stefan Wermter:
Configuring the stochastic Helmholtz machine for subcortical emotional learning. IJCNN 2010: 1-8 - Tina Yu:
Active learning support vector machines to classify imbalanced reservoir simulation data. IJCNN 2010: 1-8 - Ahmad A. M. Al-Modayan, Mohammed Abdel Razek:
Using Machine-Learning Techniques for Plant Communities Classification. IKE 2010: 146-149 - Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
Machine Learning Approach for Quality of Experience Aware Networks. INCoS 2010: 461-466 - Janet M. Baker, Alexander M. Chan, Ksenija Marinkovic, Eric Halgren, Sydney S. Cash:
Machine learning for learning how the brain recognizes speech and language. SAPA@INTERSPEECH 2010: 49-54 - Dominic Espinosa, Michael White, Eric Fosler-Lussier, Chris Brew:
Machine learning for text selection with expressive unit-selection voices. INTERSPEECH 2010: 1125-1128 - Pere Comas, Jordi Turmo, Lluís Màrquez:
Using dependency parsing and machine learning for factoid question answering on spoken documents. INTERSPEECH 2010: 1265-1268 - Richa Tiwari, Chengcui Zhang, Thamar Solorio:
A supervised machine learning approach of extracting coexpression relationship among genes from literature. IRI 2010: 98-103 - Shengyan Zhou, Karl Iagnemma:
Self-supervised learning method for unstructured road detection using Fuzzy Support Vector Machines. IROS 2010: 1183-1189 - G. P. Sajeev, M. P. Sebastian:
Building a semi intelligent web cache with light weight machine learning. IEEE Conf. of Intelligent Systems 2010: 420-425 - Rui Camacho, Rita Ferreira, Natacha Rosa, Vânia Guimarães, Nuno A. Fonseca, Vítor Santos Costa, Miguel de Sousa, Alexandre Magalhães:
Predicting the Start of Protein alpha-Helices Using Machine Learning Algorithms. IWPACBB 2010: 33-41 - Mehmet Çagri Çalpur, Hakan Erdogan, Bülent Çatay, Bruce Randall Donald, Mehmet Serkan Apaydin:
Developing a Scoring Function for NMR Structure-based Assignments using Machine Learning. ISCIS 2010: 87-90 - André Ricardo Gonçalves, Maria Angelica de Oliveira Camargo-Brunetto:
Classification of Poincaré plots for temporal series of heart rate variability by using machine learning techniques. ISDA 2010: 432-438 - Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez:
On the suitability of Extreme Learning Machine for gene classification using feature selection. ISDA 2010: 507-512 - M. Jamal Afridi, Ahsan Javed Awan, Javaid Iqbal:
AWG-Detector: A machine learning tool for the accurate detection of Anomalies due to Wind Gusts (AWG) in the adaptive Altitude control unit of an Aerosonde unmanned Aerial Vehicle. ISDA 2010: 1125-1130 - Man Zhao, Jing Zhai, Zhouqian He:
Intrusion Detection System Based on Support Vector Machine Active Learning and Data Fusion. ISICA (1) 2010: 272-279 - Jianchuan Yin, Nini Wang:
Enhanced Extreme Learning Machine with Modified Gram-Schmidt Algorithm. ISNN (1) 2010: 381-388 - Tse-Wei Chen, Yi-Ling Chen, Teng-Yuan Cheng, Chi-Sun Tang, Pei-Kuei Tsung, Tzu-Der Chuang, Liang-Gee Chen, Shao-Yi Chien:
A multimedia semantic analysis SoC (SASoC) with machine-learning engine. ISSCC 2010: 338-339 - Intan Aidha Yusoff, Nor Ashidi Mat Isa, Nor Hayati Othman, Siti Noraini Sulaiman, Yessi Jusman:
Performance of neural network architectures: Cascaded MLP versus extreme learning machine on cervical cell image classification. ISSPA 2010: 308-311 - Alexander Hentschel, Barry C. Sanders:
Machine Learning for Adaptive Quantum Measurement. ITNG 2010: 506-511 - Joanna Drummond, Diane J. Litman:
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning. Intelligent Tutoring Systems (2) 2010: 306-308 - Shengyan Zhou, Jianwei Gong, Guangming Xiong, Huiyan Chen, Karl Iagnemma:
Road detection using support vector machine based on online learning and evaluation. Intelligent Vehicles Symposium 2010: 256-261 - Rasmus Ulslev Pedersen, Martin Schoeberl:
Object oriented machine learning with a multicore real-time Java processor: short paper. JTRES 2010: 76-78 - Emile de Maat, Kai Krabben, Radboud Winkels:
Machine Learning versus Knowledge Based Classification of Legal Texts. JURIX 2010: 87-96 - Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, Honglak Lee:
An integrated machine learning approach to stroke prediction. KDD 2010: 183-192 - Magdalena Graczyk, Tadeusz Lasota, Zbigniew Telec, Bogdan Trawinski:
Nonparametric Statistical Analysis of Machine Learning Algorithms for Regression Problems. KES (1) 2010: 111-120 - Yuichi Omori, Yuki Nonaka, Mikio Hasegawa:
Design and Implementation of a Context-Aware Guide Application for Mobile Users Based on Machine Learning. KES (4) 2010: 271-279 - M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM. KES (1) 2010: 461-470 - James O'Shea, Zuhair Bandar, Keeley A. Crockett:
A Machine Learning Approach to Speech Act Classification Using Function Words. KES-AMSTA (2) 2010: 82-91 - Sebastian Bothe, Thomas Gärtner, Stefan Wrobel:
On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI 2010: 82-90 - Thierry Denoeux:
Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects. KSEM 2010: 3 - Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell:
Active Learning and Crowd-Sourcing for Machine Translation. LREC 2010 - Adam Funk, Kalina Bontcheva:
Ontology-Based Categorization of Web Services with Machine Learning. LREC 2010 - Ting-Hao (Kenneth) Huang, Lun-Wei Ku, Hsin-Hsi Chen:
Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches. LREC 2010 - Paulo Quaresma, Teresa Gonçalves:
Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents. Semantic Processing of Legal Texts 2010: 44-59 - Vassiliki Rentoumi, Stefanos Petrakis, Manfred Klenner, George A. Vouros, Vangelis Karkaletsis:
United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods. LREC 2010 - Aleksander Wawer:
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning. LREC 2010 - Neil MacParthalain, Reyer Zwiggelaar:
Machine Learning Techniques and Mammographic Risk Assessment. Digital Mammography / IWDM 2010: 664-672 - Tiansi Hu, Yunsi Fei:
An Adaptive and Energy-efficient Routing Protocol Based on Machine Learning for Underwater Delay Tolerant Networks. MASCOTS 2010: 381-384 - Miguel Angel Ríos Gaona, Alexander F. Gelbukh, Sivaji Bandyopadhyay:
Recognizing Textual Entailment Using a Machine Learning Approach. MICAI (2) 2010: 177-185 - Olga Kolesnikova, Alexander F. Gelbukh:
Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish. MICAI (2) 2010: 196-207 - Kenji Suzuki, Jianwu Xu, Jun Zhang, Ivan Sheu:
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography. MLMI 2010: 182-189 - Olivier Pauly, Tim Hauke Heibel, Nassir Navab:
A Machine Learning Approach for Deformable Guide-Wire Tracking in Fluoroscopic Sequences. MICCAI (3) 2010: 343-350 - James Ze Wang, Weina Ge, Dean R. Snow, Prasenjit Mitra, C. Lee Giles:
Determining the sexual identities of prehistoric cave artists using digitized handprints: a machine learning approach. ACM Multimedia 2010: 1325-1332 - Rafael Ramirez, Darrell Conklin, Christina Anagnostopoulou, José Manuel Iñesta Quereda:
MML 2010: international workshop on machine learning and music. ACM Multimedia 2010: 1733-1734 - Daniel Ortiz-Martínez, Ismael García-Varea, Francisco Casacuberta:
Online Learning for Interactive Statistical Machine Translation. HLT-NAACL 2010: 546-554 - Punnawat Tadapak, Thanaphon Suebchua, Arnon Rungsawang:
A Machine Learning Based Language Specific Web Site Crawler. NBiS 2010: 155-161 - Andrew Schmeder, Adrian Freed:
Support Vector Machine Learning for Gesture Signal Estimation with a Piezo-Resistive Fabric Touch Surface. NIME 2010: 244-249 - Hugo Larochelle, Geoffrey E. Hinton:
Learning to combine foveal glimpses with a third-order Boltzmann machine. NIPS 2010: 1243-1251 - Olena Zubaryeva, Jacques Savoy:
Opinion Detection by Combining Machine Learning & Linguistic Tools. NTCIR 2010: 221-227 - Kazuko Kuriyama:
Best-Answer Selection Using a Machine Learning Tool at NTCIR8 CQA Pilot Task. NTCIR 2010: 471-472 - José Luis Castillo Sequera, José R. Fernández-del-Castillo, León González-Sotos:
Algorithms of Machine Learning for K-Clustering. PAAMS (Special Sessions and Workshops) 2010: 443-452 - Ze-Han Fang, Jian-Shuin Tzeng, Chien Chin Chen, Tzu-Chuan Chou:
A Study of Machine Learning Models in Epidemic Surveillance: Using the Query Logs of Search Engines. PACIS 2010: 137 - Anup Kumar Kolya, Asif Ekbal, Sivaji Bandyopadhyay:
A Supervised Machine Learning Approach for Event-Event Relation Identification. PACLIC 2010: 447-454 - Masahiro Kojima, Masaki Murata, Jun'ichi Kazama, Kow Kuroda, Atsushi Fujita, Eiji Aramaki, Masaaki Tsuchida, Yasuhiko Watanabe, Kentaro Torisawa:
Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants. PACLIC 2010: 653-660 - Juan Mendez:
Cooperating Multi-Core and Multi-GPU in the Computation of the Multidimensional Voronoi Adjacency in Machine Learning Datasets. PDPTA 2010: 717-723 - Han Xu, Achim G. Hoffmann:
RDRCE: Combining Machine Learning and Knowledge Acquisition. PKAW 2010: 165-179 - Tomaso Poggio:
Hierarchical Learning Machines and Neuroscience of Visual Cortex. ECML/PKDD (1) 2010: 5 - Shlomi Dolev, Guy Leshem, Reuven Yagel:
Purifying data by machine learning with certainty levels. WRAS 2010: 5 - Gennady G. Fedonin, Mikhail S. Gelfand:
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family. PRIB 2010: 15-26 - Christian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch:
Novel Machine Learning Methods for MHC Class I Binding Prediction. PRIB 2010: 98-109 - Vanni Zavarella, Hristo Tanev, Jens P. Linge, Jakub Piskorski, Martin Atkinson, Ralf Steinberger:
Exploiting Multilingual Grammars and Machine Learning Techniques to Build an Event Extraction System for Portuguese. PROPOR 2010: 21-24 - Eraldo R. Fernandes, Cícero Nogueira dos Santos, Ruy Luiz Milidiú:
A Machine Learning Approach to Portuguese Clause Identification. PROPOR 2010: 55-64 - Nesserine Benchettara, Rushed Kanawati, Céline Rouveirol:
A supervised machine learning link prediction approach for academic collaboration recommendation. RecSys 2010: 253-256 - Tuan Trung Nguyen:
Layered Approximation Approach to Knowledge Elicitation in Machine Learning. RSCTC 2010: 446-455 - Maria Couceiro, Paolo Romano, Luís E. T. Rodrigues:
A Machine Learning Approach to Performance Prediction of Total Order Broadcast Protocols. SASO 2010: 184-193 - Alex Fernandes da V. Machado, Esteban Clua, Bianca Zadrozny:
A Method for Generating Emergent Behaviors Using Machine Learning to Strategy Games. SBGames 2010: 12-18 - Alberto Holts, Claudio Riquelme, Rodrigo Alfaro:
Automated Text Binary Classification Using Machine Learning Approach. SCCC 2010: 212-217 - Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi:
Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. SEAL 2010: 309-318 - Vikas K. Garg, Nukala Viswanadham:
EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics. SEAL 2010: 677-686 - Taghi M. Khoshgoftaar, Kehan Gao:
Software Engineering with Computational Intelligence and Machine Learning A Novel Software Metric Selection Technique Using the Area Under ROC Curves. SEKE 2010: 203-208 - Katsunori Kotani, Takehiko Yoshimi:
A Machine Learning-Based Evaluation Method for Machine Translation. SETN 2010: 351-356 - Trevor M. O'Brien, David H. Laidlaw:
Toward a machine learning approach for classifying user goals from user interactions. SI3D 2010 - Anderson Rocha, João Paulo Papa, Luis A. A. Meira:
How Far You Can Get Using Machine Learning Black-Boxes. SIBGRAPI 2010: 193-200 - Francisco de Assis Zampirolli, Beatriz Stransky, Ana Carolina Lorena, Fábio Luis de Melo Paulon:
Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods. SIBGRAPI 2010: 331-338 - Kyumin Lee, James Caverlee, Steve Webb:
Uncovering social spammers: social honeypots + machine learning. SIGIR 2010: 435-442 - Dandan Tu, Chengchun Shu, Jingwei Shi, Tao Zhu, Shuang Wang, Haiyan Yu:
Rank Internet Service Quality Using Multiple Features: A Machine Learning Approach. SKG 2010: 172-179 - Juan Jose Cuadrado-Gallego, Pablo Rodríguez-Soria, Borja Martín-Herrera:
Analogies and Differences between Machine Learning and Expert Based Software Project Effort Estimation. SNPD 2010: 269-276 - Hadi Sarvari, Mohamad Mehdi Keikha:
Improving the accuracy of intrusion detection systems by using the combination of machine learning approaches. SoCPaR 2010: 334-337 - Robin Sommer, Vern Paxson:
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. IEEE Symposium on Security and Privacy 2010: 305-316 - Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dinsoreanu:
An Autonomic Context Management Model Based on Machine Learning. SYNASC 2010: 335-338 - Dan Pelleg, Eran Raichstein, Amir Ronen:
Using machine learning techniques to enhance the performance of an automatic backup and recovery system. SYSTOR 2010 - Julio Javier Castillo:
Sagan in TAC2010: A Machine Learning Approach to RTE within a Corpus. TAC 2010 - Sven Hartrumpf, Tim vor der Brück, Christian Eichhorn:
Semantic Duplicate Identification with Parsing and Machine Learning. TSD 2010: 84-92 - Anup Kumar Kolya, Asif Ekbal, Sivaji Bandyopadhyay:
Event-Time Relation Identification Using Machine Learning and Rules. TSD 2010: 117-124 - Jan Zelinka, Jan Romportl, Ludek Müller:
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks. TSD 2010: 472-479 - Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework For Parallel Machine Learning. UAI 2010: 340-349 - Kayur Patel, Naomi Bancroft, Steven M. Drucker, James Fogarty, Andrew J. Ko, James A. Landay:
Gestalt: integrated support for implementation and analysis in machine learning. UIST 2010: 37-46 - Hazem Wannous, Yves Lucas, Sylvie Treuillet:
Combined Machine Learning with Multi-view Modeling for Robust Wound Tissue Assessment. VISAPP (1) 2010: 98-104 - Mihály Gara, Tamás Sámuel Tasi, Péter Balázs:
Machine Learning as a Preprocessing Phase in Discrete Tomography. WADGMM 2010: 109-124 - Zeina Azmeh, Jean-Rémy Falleri, Marianne Huchard, Chouki Tibermacine:
Automatic Web Service Tagging Using Machine Learning and WordNet Synsets. WEBIST (Selected Papers) 2010: 46-59 - Ulli Waltinger:
An Empirical Study on Machine Learning-Based Sentiment Classification Using Polarity Clues. WEBIST (Selected Papers) 2010: 202-214 - Ulli Waltinger:
Sentiment Analysis Reloaded - A Comparative Study on Sentiment Polarity Identification Combining Machine Learning and Subjectivity Features. WEBIST (1) 2010: 203-210 - Yibin Ye, Stefano Squartini, Francesco Piazza:
A Group Selection Evolutionary Extreme Learning Machine approach for Time-Variant Neural Networks. WIRN 2010: 22-33 - Maurizio Fiasché, Maria Cuzzola, Roberta Fedele, Pasquale Iacopino, Francesco Carlo Morabito:
Machine Learning and Personalized Modeling for Diagnosis of Acute GvHD: an Integrated Approach. WIRN 2010: 252-259 - Nuttapong Sanglerdsinlapachai, Arnon Rungsawang:
Using Domain Top-page Similarity Feature in Machine Learning-Based Web Phishing Detection. WKDD 2010: 187-190 - Michela Papandrea:
Opportunistically supported ubiquitous localization: Machine learning enhancements. WOWMOM 2010: 1-2 - Philippe Owezarski, Johan Mazel, Yann Labit:
0day Anomaly Detection Made Possible Thanks to Machine Learning. WWIC 2010: 327-338 - Utku Irmak, Reiner Kraft:
A scalable machine-learning approach for semi-structured named entity recognition. WWW 2010: 461-470 - Vladimir Gorodetsky, Vladimir Samoilov:
Feature Extraction for Machine Learning: Logic-Probabilistic Approach. FSDM 2010: 55-65 - Benjamin M. Marlin, Kevin Swersky, Bo Chen, Nando de Freitas:
Inductive Principles for Restricted Boltzmann Machine Learning. AISTATS 2010: 509-516 - Ruslan Salakhutdinov, Hugo Larochelle:
Efficient Learning of Deep Boltzmann Machines. AISTATS 2010: 693-700 - Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg:
Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1269-1277 - Thomas G. Dietterich, Xinlong Bao, Victoria Keiser, Jianqiang Shen:
Machine Learning Methods for High Level Cyber Situation Awareness. Cyber Situational Awareness 2010: 227-247 - Witold Pedrycz:
Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation. Advances in Machine Learning II 2010: 3-21 - Janusz Wojtusiak, Kenneth A. Kaufman:
Ryszard S. Michalski: The Vision and Evolution of Machine Learning. Advances in Machine Learning I 2010: 3-22 - Andrzej Skowron, Marcin S. Szczuka:
Toward Interactive Computations: A Rough-Granular Approach. Advances in Machine Learning II 2010: 23-42 - Stan Matwin, Tomasz Szapiro:
Data Privacy: From Technology to Economics. Advances in Machine Learning II 2010: 43-74 - Krzysztof J. Cios, Lukasz A. Kurgan:
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. Advances in Machine Learning I 2010: 49-74 - Christian Romero, José Mario García Valdez, Arnulfo Alanis Garza:
A Comparative Study of Blog Comments Spam Filtering with Machine Learning Techniques. Soft Computing for Recognition Based on Biometrics 2010: 57-72 - Phillipa M. Avery, Zbigniew Michalewicz:
Adapting to Human Gamers Using Coevolution. Advances in Machine Learning II 2010: 75-100 - Janusz Kacprzyk, Grazyna Szkatula:
Inductive Learning: A Combinatorial Optimization Approach. Advances in Machine Learning I 2010: 75-93 - Pinar Donmez, Jaime G. Carbonell:
From Active to Proactive Learning Methods. Advances in Machine Learning I 2010: 97-120 - Mirsad Hadzikadic, Min Sun:
Wisdom of Crowds in the Prisoner's Dilemma Context. Advances in Machine Learning II 2010: 101-118 - Marenglen Biba, Stefano Ferilli, Floriana Esposito:
Towards Multistrategic Statistical Relational Learning. Advances in Machine Learning II 2010: 121-142 - Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger:
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I 2010: 121-146 - Luc De Raedt:
About Knowledge and Inference in Logical and Relational Learning. Advances in Machine Learning II 2010: 143-153 - Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Transfer Learning via Advice Taking. Advances in Machine Learning I 2010: 147-170 - Marta Franová, Yves Kodratoff:
Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the 'Assets' in Theorem Proving. Advances in Machine Learning II 2010: 155-173 - Pavel Brazdil, Rui Leite:
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. Advances in Machine Learning I 2010: 173-188 - Jan Rauch:
Logical Aspects of the Measures of Interestingness of Association Rules. Advances in Machine Learning II 2010: 175-203 - Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Transductive Learning for Spatial Data Classification. Advances in Machine Learning I 2010: 189-207 - Katharina Morik, Michael Wurst:
Clustering the Web 2.0. Advances in Machine Learning II 2010: 207-223 - Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Beyond Sequential Covering - Boosted Decision Rules. Advances in Machine Learning I 2010: 209-225 - Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit:
Induction in Multi-Label Text Classification Domains. Advances in Machine Learning II 2010: 225-244 - Matti Saarela, Tapio Elomaa, Keijo Ruohonen:
An Analysis of Relevance Vector Machine Regression. Advances in Machine Learning I 2010: 227-246 - Boris Mirkin, Susana Nascimento, Luís Moniz Pereira:
Cluster-Lift Method for Mapping Research Activities over a Concept Tree. Advances in Machine Learning II 2010: 245-257 - Zbigniew W. Ras, Agnieszka Dardzinska, Wenxin Jiang:
Cascade Classifiers for Hierarchical Decision Systems. Advances in Machine Learning I 2010: 247-256 - Gisele L. Pappa, Alex Alves Freitas:
Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I 2010: 257-273 - Marzena Kryszkiewicz, Henryk Rybinski, Katarzyna Cichon:
On Concise Representations of Frequent Patterns Admitting Negation. Advances in Machine Learning II 2010: 259-289 - Ugo Galassi, Marco Botta, Lorenza Saitta:
Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. Advances in Machine Learning I 2010: 275-295 - Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim:
A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks. Advances in Machine Learning II 2010: 293-314 - Eduardo Rodrigues Gomes, Ryszard Kowalczyk:
The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation. Advances in Machine Learning II 2010: 315-349 - Jens Christian Hühn, Eyke Hüllermeier:
An Analysis of the FURIA Algorithm for Fuzzy Rule Induction. Advances in Machine Learning I 2010: 321-344 - Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets. Advances in Machine Learning I 2010: 345-365 - Christian Borgelt:
Simple Algorithms for Frequent Item Set Mining. Advances in Machine Learning II 2010: 351-369 - Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol:
Knowledge Discovery Using Rough Set Theory. Advances in Machine Learning I 2010: 367-383 - Michal Draminski, Marcin Kierczak, Jacek Koronacki, Henryk Jan Komorowski:
Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification. Advances in Machine Learning II 2010: 371-385 - Aboul Ella Hassanien, Hameed Al-Qaheri, Václav Snásel, James F. Peters:
Machine Learning Techniques for Prostate Ultrasound Image Diagnosis. Advances in Machine Learning I 2010: 385-403 - Halina Kwasnicka, Mariusz Paradowski:
Machine Learning Methods in Automatic Image Annotation. Advances in Machine Learning II 2010: 387-411 - Marek Kowal, Józef Korbicz:
Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering. Advances in Machine Learning I 2010: 405-417 - Daniel H. Grollman, Odest Chadwicke Jenkins:
Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration? From Motor Learning to Interaction Learning in Robots 2010: 407-430 - Nikola Kasabov:
Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. Advances in Machine Learning II 2010: 415-425 - Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon López de Mántaras:
Automatic Selection of Object Recognition Methods Using Reinforcement Learning. Advances in Machine Learning I 2010: 421-439 - Boris Kryzhanovsky, Vladimir Kryzhanovsky, Leonid B. Litinskii:
Machine Learning in Vector Models of Neural Networks. Advances in Machine Learning II 2010: 427-443 - Ivan Bratko:
Comparison of Machine Learning for Autonomous Robot Discovery. Advances in Machine Learning I 2010: 441-456 - Hongbo Liu, Ajith Abraham, Benxian Yue:
Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction. Advances in Machine Learning II 2010: 445-466 - Claude Sammut, Tak Fai Yik:
Multistrategy Learning for Robot Behaviours. Advances in Machine Learning I 2010: 457-476 - Tomasz Maszczyk, Marek Grochowski, Wlodzislaw Duch:
Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks. Advances in Machine Learning II 2010: 467-484 - Joachim Diederich, Alan B. Tickle, Shlomo Geva:
Quo Vadis? Reliable and Practical Rule Extraction from Neural Networks. Advances in Machine Learning I 2010: 479-490 - Vladimir A. Golovko, Sergei V. Bezobrazov, Pavel Kachurka, Leanid U. Vaitsekhovich:
Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection. Advances in Machine Learning II 2010: 485-513 - Vladimir G. Red'ko, Danil V. Prokhorov:
Learning and Evolution of Autonomous Adaptive Agents. Advances in Machine Learning I 2010: 491-500 - Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov:
Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis. Advances in Machine Learning I 2010: 501-518 - Alexander O. Tarakanov:
Immunocomputing for Speaker Recognition. Advances in Machine Learning II 2010: 515-529 - Masashi Sugiyama, Qiang Yang:
Proceedings of the 2nd Asian Conference on Machine Learning, ACML 2010, Tokyo, Japan, November 8-10, 2010. JMLR Proceedings 13, JMLR.org 2010 [contents] - Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science 6023, Springer 2010, ISBN 978-3-642-12210-1 [contents] - Wen Gao, Chin-Hui Lee, Jie Yang, Xilin Chen, Maxine Eskenazi, Zhengyou Zhang:
Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, ICMI-MLMI 2010, Beijing, China, November 8-12, 2010. ACM 2010, ISBN 978-1-4503-0414-6 [contents] - Johannes Fürnkranz, Thorsten Joachims:
Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel. Omnipress 2010 [contents] - Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu:
The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4300-0 [contents] - International Conference on Machine Learning and Cybernetics, ICMLC 2010, Qingdao, China, July 11-14, 2010, Proceedings. IEEE 2010 [contents]
- Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen:
Machine Learning in Medical Imaging, First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings. Lecture Notes in Computer Science 6357, Springer 2010, ISBN 978-3-642-15947-3 [contents] - Saso Dzeroski, Pierre Geurts, Juho Rousu:
Proceedings of the third International Workshop on Machine Learning in Systems Biology, MLSB 2009, Ljubljana, Slovenia, September 5-6, 2009. JMLR Proceedings 8, JMLR.org 2010 [contents] - Greg Bronevetsky, Kathryn Mohror, Alice Zheng:
Workshop on Managing Systems via Log Analysis and Machine Learning Techniques, SLAML'10, Vancouver, BC, Canada, October 3, 2010. USENIX Association 2010 [contents] - José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6321, Springer 2010, ISBN 978-3-642-15879-7 [contents] - José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6322, Springer 2010, ISBN 978-3-642-15882-7 [contents] - José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6323, Springer 2010, ISBN 978-3-642-15938-1 [contents] - Claude Sammut, Geoffrey I. Webb:
Encyclopedia of Machine Learning. Springer 2010, ISBN 978-0-387-30768-8 [contents] - Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk:
Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Studies in Computational Intelligence 262, Springer 2010, ISBN 978-3-642-05176-0 [contents] - Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk:
Advances in Machine Learning II, Dedicated to the Memory of Professor Ryszard S. Michalski. Studies in Computational Intelligence 263, Springer 2010, ISBN 978-3-642-05178-4 [contents] - Andrew G. Barto:
Adaptive Real-Time Dynamic Programming. Encyclopedia of Machine Learning 2010: 19-22 - Gail A. Carpenter, Stephen Grossberg:
Adaptive Resonance Theory. Encyclopedia of Machine Learning 2010: 22-35 - Marco Dorigo, Mauro Birattari:
Ant Colony Optimization. Encyclopedia of Machine Learning 2010: 36-39 - Alexander L. Strehl:
Associative Reinforcement Learning. Encyclopedia of Machine Learning 2010: 49-51 - Adam Coates, Pieter Abbeel, Andrew Y. Ng:
Autonomous Helicopter Flight Using Reinforcement Learning. Encyclopedia of Machine Learning 2010: 53-61 - Fei Zheng, Geoffrey I. Webb:
Averaged One-Dependence Estimators. Encyclopedia of Machine Learning 2010: 63-64 - Prasad Tadepalli:
Average-Reward Reinforcement Learning. Encyclopedia of Machine Learning 2010: 64-68 - Peter Orbanz, Yee Whye Teh:
Bayesian Nonparametric Models. Encyclopedia of Machine Learning 2010: 81-89 - Dev G. Rajnarayan, David Wolpert:
Bias-Variance Trade-offs: Novel Applications. Encyclopedia of Machine Learning 2010: 101-110 - Wulfram Gerstner:
Biological Learning: Synaptic Plasticity, Hebb Rule and Spike TimingDependent Plasticity. Encyclopedia of Machine Learning 2010: 111-132 - C. David Page Jr., Sriraam Natarajan:
Biomedical Informatics. Encyclopedia of Machine Learning 2010: 132 - Thomas R. Shultz, Scott E. Fahlman:
Cascade-Correlation. Encyclopedia of Machine Learning 2010: 139-147 - Periklis Andritsos, Panayiotis Tsaparas:
Categorical Data Clustering. Encyclopedia of Machine Learning 2010: 154-159 - Charles X. Ling, Victor S. Sheng:
Class Imbalance Problem. Encyclopedia of Machine Learning 2010: 171 - Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor:
Collective Classification. Encyclopedia of Machine Learning 2010: 189-193 - Sanjay Jain, Frank Stephan:
Complexity of Inductive Inference. Encyclopedia of Machine Learning 2010: 198-201 - Sanjay Jain, Frank Stephan:
Computational Complexity of Learning. Encyclopedia of Machine Learning 2010: 201-202 - Claude Sammut, Michael Bonnell Harries:
Concept Drift. Encyclopedia of Machine Learning 2010: 202-205 - John Case, Sanjay Jain:
Connections Between Inductive Inference and Machine Learning. Encyclopedia of Machine Learning 2010: 210-219 - Charles X. Ling, Victor S. Sheng:
Cost-Sensitive Learning. Encyclopedia of Machine Learning 2010: 231-235 - Nicola Cancedda, Jean-Michel Renders:
Cross-Lingual Text Mining. Encyclopedia of Machine Learning 2010: 243-249 - Pietro Michelucci, Daniel Oblinger:
Cumulative Learning. Encyclopedia of Machine Learning 2010: 249-257 - Eamonn J. Keogh, Abdullah Mueen:
Curse of Dimensionality. Encyclopedia of Machine Learning 2010: 257-258 - Johannes Fürnkranz:
Decision Lists and Decision Trees. Encyclopedia of Machine Learning 2010: 261-262 - Dunja Mladenic, Janez Brank, Marko Grobelnik:
Document Classification. Encyclopedia of Machine Learning 2010: 289-293 - Martin L. Puterman, Jonathan Patrick:
Dynamic Programming. Encyclopedia of Machine Learning 2010: 298-308 - John Langford:
Efficient Exploration in Reinforcement Learning. Encyclopedia of Machine Learning 2010: 309-311 - Indrajit Bhattacharya, Lise Getoor:
Entity Resolution. Encyclopedia of Machine Learning 2010: 321-326 - David Corne, Julia Handl, Joshua D. Knowles:
Evolutionary Clustering. Encyclopedia of Machine Learning 2010: 332-337 - Serafín Martínez-Jaramillo, Biliana Alexandrova-Kabadjova, Alma Lilia García-Almanza, Tonatiuh Peña Centeno:
Evolutionary Computation in Economics. Encyclopedia of Machine Learning 2010: 337-344 - Serafín Martínez-Jaramillo, Alma Lilia García-Almanza, Biliana Alexandrova-Kabadjova, Tonatiuh Peña Centeno:
Evolutionary Computation in Finance. Encyclopedia of Machine Learning 2010: 344-353 - Alma Lilia García-Almanza, Biliana Alexandrova-Kabadjova, Serafín Martínez-Jaramillo:
Evolutionary Computational Techniques in Marketing. Encyclopedia of Machine Learning 2010: 353 - Krzysztof Krawiec:
Evolutionary Feature Selection and Construction. Encyclopedia of Machine Learning 2010: 353-357 - Xin Jin, Jiawei Han:
Expectation Maximization Clustering. Encyclopedia of Machine Learning 2010: 382-383 - Gerald DeJong, Shiau Hong Lim:
Explanation-Based Learning. Encyclopedia of Machine Learning 2010: 388-392 - Subbarao Kambhampati, Sung Wook Yoon:
Explanation-Based Learning for Planning. Encyclopedia of Machine Learning 2010: 392-396 - Janez Brank, Dunja Mladenic, Marko Grobelnik:
Feature Construction in Text Mining. Encyclopedia of Machine Learning 2010: 397-401 - Novi Quadrianto, Kristian Kersting, Zhao Xu:
Gaussian Process. Encyclopedia of Machine Learning 2010: 428-439 - Yaakov Engel:
Gaussian Process Reinforcement Learning. Encyclopedia of Machine Learning 2010: 439-447 - Bin Liu, Geoffrey I. Webb:
Generative and Discriminative Learning. Encyclopedia of Machine Learning 2010: 454-455 - Thomas Gärtner, Tamás Horváth, Stefan Wrobel:
Graph Kernels. Encyclopedia of Machine Learning 2010: 467-469 - Julian John McAuley, Tibério S. Caetano, Wray L. Buntine:
Graphical Models. Encyclopedia of Machine Learning 2010: 471-479 - Lawrence B. Holder:
Greedy Search Approach of Graph Mining. Encyclopedia of Machine Learning 2010: 483-489 - Bernhard Hengst:
Hierarchical Reinforcement Learning. Encyclopedia of Machine Learning 2010: 495-502 - Stefan Kramer:
Inductive Database Approach to Graphmining. Encyclopedia of Machine Learning 2010: 522-523 - Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares:
Inductive Transfer. Encyclopedia of Machine Learning 2010: 545-548 - William D. Smart:
Instance-Based Reinforcement Learning. Encyclopedia of Machine Learning 2010: 550-553 - Pieter Abbeel, Andrew Y. Ng:
Inverse Reinforcement Learning. Encyclopedia of Machine Learning 2010: 554-558 - Claudia Perlich:
Learning Curves in Machine Learning. Encyclopedia of Machine Learning 2010: 577-580 - Tamás Horváth, Stefan Wrobel:
Learning from Structured Data. Encyclopedia of Machine Learning 2010: 580-584 - William Stafford Noble, Christina S. Leslie:
Learning Models of Biological Sequences. Encyclopedia of Machine Learning 2010: 590-594 - Michail G. Lagoudakis:
Least-Squares Reinforcement Learning Methods. Encyclopedia of Machine Learning 2010: 595-600 - Novi Quadrianto, Wray L. Buntine:
Linear Discriminant. Encyclopedia of Machine Learning 2010: 601-603 - Xin Jin, Jiawei Han:
Locality Sensitive Hashing Based Clustering. Encyclopedia of Machine Learning 2010: 613 - Jo-Anne Ting, Sethu Vijayakumar, Stefan Schaal:
Locally Weighted Regression for Control. Encyclopedia of Machine Learning 2010: 613-624 - Johannes Fürnkranz:
Machine Learning and Game Playing. Encyclopedia of Machine Learning 2010: 633-637 - Adwait Ratnaparkhi:
Maximum Entropy Models for Natural Language Processing. Encyclopedia of Machine Learning 2010: 647-651 - Katharina Morik:
Medicine: Applications of Machine Learning. Encyclopedia of Machine Learning 2010: 654-661 - Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares:
Metalearning. Encyclopedia of Machine Learning 2010: 662-666 - Marco Dorigo, Mauro Birattari, Thomas Stützle:
Metaheuristic. Encyclopedia of Machine Learning 2010: 662 - Jorma Rissanen:
Minimum Description Length Principle. Encyclopedia of Machine Learning 2010: 666-668 - Arindam Banerjee, Hanhuai Shan:
Model-Based Clustering. Encyclopedia of Machine Learning 2010: 686-689 - Soumya Ray, Prasad Tadepalli:
Model-Based Reinforcement Learning. Encyclopedia of Machine Learning 2010: 690-693 - Yoav Shoham, Rob Powers:
Multi-Agent Learning I: Problem Definition. Encyclopedia of Machine Learning 2010: 694-696 - Yoav Shoham, Rob Powers:
Multi-Agent Learning II: Algorithms. Encyclopedia of Machine Learning 2010: 696-699 - Soumya Ray, Stephen Scott, Hendrik Blockeel:
Multi-Instance Learning. Encyclopedia of Machine Learning 2010: 701-710 - Michèle Sebag:
Nonstandard Criteria in Evolutionary Learning. Encyclopedia of Machine Learning 2010: 722-731 - Pascal Poupart:
Partially Observable Markov Decision Processes. Encyclopedia of Machine Learning 2010: 754-760 - Lorenza Saitta, Michèle Sebag:
Phase Transitions in Machine Learning. Encyclopedia of Machine Learning 2010: 767-773 - Jan Peters, J. Andrew Bagnell:
Policy Gradient Methods. Encyclopedia of Machine Learning 2010: 774-776 - Jelber Sayyad-Shirabad:
Predictive Techniques in Software Engineering. Encyclopedia of Machine Learning 2010: 782-789 - Johannes Fürnkranz, Eyke Hüllermeier:
Preference Learning. Encyclopedia of Machine Learning 2010: 789-795 - Yasubumi Sakakibara:
Probabilistic Context-Free Grammars. Encyclopedia of Machine Learning 2010: 802-805 - Jan Peters, Russ Tedrake, Nicholas Roy, Jun Morimoto:
Robot Learning. Encyclopedia of Machine Learning 2010: 865-869 - Fei Zheng, Geoffrey I. Webb:
Semi-Naive Bayesian Learning. Encyclopedia of Machine Learning 2010: 889-892 - Luc De Raedt, Kristian Kersting:
Statistical Relational Learning. Encyclopedia of Machine Learning 2010: 916-924