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15289 directly classified papers

Papers per year

Papers

Ranking the Best Instances JMLR 2007
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007
VC Theory of Large Margin Multi-Category Classifiers JMLR 2007
Nonlinear Boosting Projections for Ensemble Construction JMLR 2007
Concave Learners for Rankboost JMLR 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007
Very Fast Online Learning of Highly Non Linear Problems JMLR 2007
Large Margin Semi-supervised Learning JMLR 2007
Structure and Majority Classes in Decision Tree Learning JMLR 2007
Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007
Noise Tolerant Variants of the Perceptron Algorithm JMLR 2007
The Pyramid Match Kernel: Efficient Learning with Sets of Features JMLR 2007
Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007
A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007
Margin Trees for High-dimensional Classification JMLR 2007
Learning Horn Expressions with LOGAN-H JMLR 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007
Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007
Bilinear Discriminant Component Analysis JMLR 2007
Configuration Estimates Improve Pedestrian Finding NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007
Bundle Methods for Machine Learning NIPS 2007