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Classification

15,805 papers

Papers per year

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Papers

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions JMLR 2010
Classification Using Geometric Level Sets JMLR 2010
Error-Correcting Output Codes Library JMLR 2010
Second-Order Bilinear Discriminant Analysis JMLR 2010
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010
Maximum Relative Margin and Data-Dependent Regularization JMLR 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010
Graph Kernels JMLR 2010
Learning From Crowds JMLR 2010
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010
Learning Translation Invariant Kernels for Classification JMLR 2010
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010
Quadratic Programming Feature Selection JMLR 2010
On the Foundations of Noise-free Selective Classification JMLR 2010
Consensus-Based Distributed Support Vector Machines JMLR 2010
The SHOGUN Machine Learning Toolbox JMLR 2010
How to Explain Individual Classification Decisions JMLR 2010
Permutation Tests for Studying Classifier Performance JMLR 2010
Fast and Scalable Local Kernel Machines JMLR 2010
Model-based Boosting 2.0 JMLR 2010
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010
Regularized Discriminant Analysis, Ridge Regression and Beyond JMLR 2010
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010