Publications

• E. W. Wild
  Optimization-Based Machine Learning and Data Mining
  (pdf)
  Dissertation submitted in partial fulfillment of the requirements for the Ph. D. degree in Computer Sciences at the University of Wisconsin-Madison, April 2008.


• O. L. Mangasarian and E. W. Wild
  Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels (ps) (pdf)
  Data Mining Institute Technical Report 07-03, November 2007.


• O. L. Mangasarian, E. W. Wild and G. M. Fung
  Privacy-Preserving Classification of Vertically Partitioned Data via Random Kernels (ps) (pdf)
  Data Mining Institute Technical Report 07-02, September 2007.


• O. L. Mangasarian and E. W. Wild
  Exactness Conditions for a Convex Differentiable Exterior Penalty for Linear Programming (ps) (pdf)
  Data Mining Institute Technical Report 07-01, July 2007.


• R. Maclin, E. Wild, J. Shavlik, L. Torrey and T. Walker
  Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming (pdf)
  Proceedings of the Twenty-Second Conference on Artificial Intelligence, Vancouver, British Columbia. July 2007.


• O. L. Mangasarian and E. W. Wild
  Nonlinear Knowledge in Kernel Machines (ps) (pdf)
  Data Mining Institute Technical Report 06-06, November 2006.
  CRM Proceedings and Lecture Notes, Volume 45, American Mathematical Society and Centre de Recherches Mathématiques at the Université de Montréal, 2008, to appear.


• O. L. Mangasarian, E. W. Wild and G. M. Fung
  Proximal Knowledge-Based Classification (ps) (pdf)
  Data Mining Institute Technical Report 06-05, November 2006.


• O. L. Mangasarian and E. W. Wild
  Nonlinear Knowledge-Based Classification (ps) (pdf)
  Data Mining Institute Technical Report 06-04, August 2006.


• O. L. Mangasarian and E. W. Wild
  Feature Selection for Nonlinear Kernel Classification (ps) (pdf)
  Data Mining Institute Technical Report 06-03, July 2006.


• E. W. Wild
  Nonlinear Knowledge in Spline Models (pdf)
  Statistics 860 Final Project Report, December 2005.


• O. L. Mangasarian and E. W. Wild
  Nonlinear Knowledge in Kernel Approximation (ps) (pdf)
  Data Mining Institute Technical Report 05-05, October 2005.
  IEEE Transactions on Neural Networks 18(1), 2007, 300-306.


• R. Maclin, J. Shavlik, L. Torrey, T. Walker and E. Wild
  Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression (pdf)
  Proceedings of the Twentieth National Conference on Artificial Intelligence, Pittsburgh, PA, July 2005.


• O. L. Mangasarian and E. W. Wild
  Multiple Instance Classification via Successive Linear Programming (ps) (pdf)
  Data Mining Institute Technical Report 05-02, May 2005.


• O. L. Mangasarian and E. W. Wild
  Multisurface Proximal Support Vector Classification via Generalized Eigenvalues (ps) (pdf)
  Data Mining Institute Technical Report 04-03, June 2004. Revised September 2004.
  IEEE Transactions on Pattern Analysis and Machine Intelligence 28(1), 2006, 69-74.

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• O. L. Mangasarian and E. W. Wild
  Feature Selection in k-Median Clustering (ps) (pdf)
  Data Mining Institute Technical Report 04-01, January 2004.
  Proceedings of the SDM 2004 Workshop on Clustering High Dimensional Data and its Applications, April 24, 2004, Lake Buena Vista, FL, pages 23-28.


• O. L. Mangasarian, J. W. Shavlik and E. W. Wild
  Knowledge-Based Kernel Approximation (ps) (pdf)
  Data Mining Institute Technical Report 03-05, October 2003.
  Journal of Machine Learning Research 5, 1127-1141, 2004.
  

Talks

• Olvi Mangasarian and Edward Wild
  Nonlinear Knowledge in Kernel Machines (PowerPoint)
  Data Mining and Mathematical Programming Workshop
  University of Montreal, Quebec, Canada, October 10-13, 2006
  Computational and Applied Mathematics Seminar, Mathematics Department
  University of California at San Diego, La Jolla April 24, 2007


• Olvi Mangasarian and Edward Wild
  Nonlinear Knowledge in Kernel Approximation (PowerPoint)
  Joint Optimization/Artificial Intelligence Seminar, Computer Sciences Department
  University of Wisconsin, Madison November 14, 2005
  Computational & Applied Mathematics Seminar, Mathematics Department
  University of California at San Diego, La Jolla January 24, 2006


• Olvi Mangasarian and Edward Wild
  Multiple Instance Learning via Successive Linear Programming (PowerPoint)
  Computation and Informatics in Biology and Medicine (CIBM) Retreat
  Pyle Center, Madison, Wisconsin, October 28, 2005


• Olvi Mangasarian and Edward Wild
  Feature Selection in k-Median Clustering (PowerPoint)
  Fourth SIAM International Conference on Data Mining (SDM 2004)
  Workshop on Clustering High Dimensional Data and its Applications
  Lake Buena Vista, Florida, April 24, 2004


• Olvi Mangasarian, Jude Shavlik and Edward Wild
  Knowledge-Based Kernel Approximation (PowerPoint)
  Numerical Analysis Seminar, Mathematics Department
  University of California at San Diego, January 13, 2004