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Classification

15,803 papers

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Papers

Data-dependent margin-based generalization bounds for classification JMLR 2002
Algorithmic Luckiness JMLR 2002
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002
On Online Learning of Decision Lists JMLR 2002
Minimal Kernel Classifiers JMLR 2002
Tracking a Small Set of Experts by Mixing Past Posteriors JMLR 2002
Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002
A Robust Minimax Approach to Classification JMLR 2002
Efficient Algorithms for Decision Tree Cross-validation JMLR 2002
The Set Covering Machine JMLR 2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002
Lagrangian Support Vector Machines JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001
Bayes Point Machines JMLR 2001
Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001
On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001
Support Vector Clustering JMLR 2001
One-Class SVMs for Document Classification JMLR 2001
Uniform Object Generation for Optimizing One-class Classifiers JMLR 2001
A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001
A New Approximate Maximal Margin Classification Algorithm JMLR 2001
Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001
Exact Simplification of Support Vector Solutions JMLR 2001