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Classification

15,803 papers

Papers per year

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Papers

Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007
Handling Missing Values when Applying Classification Models JMLR 2007
Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007
Structure and Majority Classes in Decision Tree Learning JMLR 2007
Large Margin Semi-supervised Learning JMLR 2007
Very Fast Online Learning of Highly Non Linear Problems JMLR 2007
A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007
AdaBoost is Consistent JMLR 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007
VC Theory of Large Margin Multi-Category Classifiers JMLR 2007
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007
Ranking the Best Instances JMLR 2007
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007
Ordinal Regression by Extended Binary Classification NIPS 2006
Learning from Multiple Sources NIPS 2006
Geometric entropy minimization (GEM) for anomaly detection and localization NIPS 2006
Online Classification for Complex Problems Using Simultaneous Projections NIPS 2006
In-Network PCA and Anomaly Detection NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006
Isotonic Conditional Random Fields and Local Sentiment Flow NIPS 2006
Logistic Regression for Single Trial EEG Classification NIPS 2006
Active learning for misspecified generalized linear models NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006