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Classification

15289 directly classified papers

Papers per year

Papers

Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
Large Scale Hidden Semi-Markov SVMs NIPS 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006
Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006
Subordinate class recognition using relational object models NIPS 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
Large Margin Component Analysis NIPS 2006
Learning with Hypergraphs: Clustering, Classification, and Embedding NIPS 2006
Max-margin classification of incomplete data NIPS 2006
Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006
Learning from Multiple Sources NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Environment Identification for a Running Robot Using Inertial and Actuator Cues RSS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
Optimal Single-Class Classification Strategies NIPS 2006
Active learning for misspecified generalized linear models NIPS 2006
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005
Change Point Problems in Linear Dynamical Systems JMLR 2005
Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005
Efficient Margin Maximizing with Boosting JMLR 2005
Asymptotics in Empirical Risk Minimization JMLR 2005