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Classification

1251 directly classified papers

Papers per year

Papers

The Generalized FITC Approximation NIPS 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006
AdaBoost is Consistent NIPS 2006
Sparse Representation for Signal Classification NIPS 2006
Logistic Regression for Single Trial EEG Classification NIPS 2006
Active learning for misspecified generalized linear models NIPS 2006
Ensemble Pruning Via Semi-definite Programming JMLR 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NIPS 2006
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Large Margin Component Analysis NIPS 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Max-margin classification of incomplete data NIPS 2006
On Inferring Application Protocol Behaviors in Encrypted Network Traffic JMLR 2006
Subordinate class recognition using relational object models NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Tutorial on Practical Prediction Theory for Classification JMLR 2005
Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004
Sparseness of Support Vector Machines JMLR 2003
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001