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- Predicting the Probability of Correct Classification
- Unsupervised Outlier Detection and Semi-Supervised Learning
- Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC
- A Formulation for Minimax Probability Machine Regression
- Online Learning of Multiple Perceptual Models for Navigation in Unknown Terrain
- Rates of Convergence of Performance Gradient Estimates Using Function Approximation and
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- Nonparametric Classification with Polynomial MPMC Cascades Sander M. Bohte S.M.Bohte@cwi.nl
- A Nonparametric Learning Approach to Vision Based Mobile Robot Localization
- Robust Minimax Probability Machine Regression Robust Minimax Probability Machine Regression
- Long-Term Learning Using Multiple Models For Outdoor Autonomous Robot Navigation
- Using Policy Gradient Reinforcement Learning on Autonomous Robot Controllers
- Fifteenth International Joint Conference on Articial Intelligence (IJCAI-97) ,August 23-29, 1997, Nagoya, Japan 804 Is Nonparametric Learning Practical
- Probabilistic Regression Using Basis Function Gregory Z. Grudic
- Clustering Through Ranking On Manifolds Markus Breitenbach BREITENM@CS.COLORADO.EDU
- Sparse Greedy Minimax Probability Machine Classification
- Topological Mapping from Image Sequences Jane Mulligan and Greg Grudic
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- Seventeenth National Conference on Artificial Intelligence (AAAI 2000), July 30-August 3, 2000, Austin, Texas 590 Localizing Search in Reinforcement Learning