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Supervised Learning

988 directly classified papers

Papers per year

Papers

FilterBoost: Regression and Classification on Large Datasets NIPS 2007
Compressed Regression NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
A general agnostic active learning algorithm NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NIPS 2006
Streamwise Feature Selection JMLR 2006
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Scalable Discriminative Learning for Natural Language Parsing and Translation NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
Chained Boosting NIPS 2006
A Humanlike Predictor of Facial Attractiveness NIPS 2006
Map-Reduce for Machine Learning on Multicore NIPS 2006
A Scalable Machine Learning Approach to Go NIPS 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Nonlinear physically-based models for decoding motor-cortical population activity NIPS 2006
Some Discriminant-Based PAC Algorithms JMLR 2006
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Large Scale Hidden Semi-Markov SVMs NIPS 2006
Learning the Kernel Function via Regularization JMLR 2005