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Supervised Learning

989 papers

Papers per year

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Papers

Supervised Topic Models NIPS 2007
Hierarchical Penalization NIPS 2007
Separating Models of Learning from Correlated and Uncorrelated Data JMLR 2007
Integrating Naïve Bayes and FOIL JMLR 2007
Learning Horn Expressions with LOGAN-H JMLR 2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
A Scalable Machine Learning Approach to Go NIPS 2006
Map-Reduce for Machine Learning on Multicore NIPS 2006
A Humanlike Predictor of Facial Attractiveness NIPS 2006
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NIPS 2006
Chained Boosting NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
Scalable Discriminative Learning for Natural Language Parsing and Translation NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Nonlinear physically-based models for decoding motor-cortical population activity NIPS 2006
Large Scale Hidden Semi-Markov SVMs NIPS 2006
Some Discriminant-Based PAC Algorithms JMLR 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Streamwise Feature Selection JMLR 2006
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006