Advances in Machine Learning: First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings / Edition 1

Keynote and Invited Talks.- Machine Learning and Ecosystem Informatics: Challenges and Opportunities.- Density Ratio Estimation: A New Versatile Tool for Machine Learning.- Transfer Learning beyond Text Classification.- Regular Papers.- Improving Adaptive Bagging Methods for Evolving Data Streams.- A Hierarchical Face Recognition Algorithm.- Estimating Likelihoods for Topic Models.- Conditional Density Estimation with Class Probability Estimators.- Linear Time Model Selection for Mixture of Heterogeneous Components.- Max-margin Multiple-Instance Learning via Semidefinite Programming.- A Reformulation of Support Vector Machines for General Confidence Functions.- Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.- Context-Aware Online Commercial Intention Detection.- Feature Selection via Maximizing Neighborhood Soft Margin.- Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix.- Community Detection on Weighted Networks: A Variational Bayesian Method.- Averaged Naive Bayes Trees: A New Extension of AODE.- Automatic Choice of Control Measurements.- Coupled Metric Learning for Face Recognition with Degraded Images.- Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model.- On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.- Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes.- Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification.- Learning Algorithms for Domain Adaptation.- Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.- Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis.- Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection.- Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting.- Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.- Injecting Structured Data to Generative Topic Model in Enterprise Settings.- Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction.