conftrace_
← Core Methods
Machine Learning › Core Methods ›

Classification

15,803 papers

Papers per year

2
26
134
262
1678
1389
'00
'05
'10
'15
'20
'25

Papers

Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010
Linear Algorithms for Online Multitask Classification JMLR 2010
Tree Decomposition for Large-Scale SVM Problems JMLR 2010
Semi-Supervised Novelty Detection JMLR 2010
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification JMLR 2010
Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds JMLR 2010
Learning Instance-Specific Predictive Models JMLR 2010
DUOL: A Double Updating Approach for Online Learning NIPS 2009
Positive Semidefinite Metric Learning with Boosting NIPS 2009
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NIPS 2009
Free energy score space NIPS 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Fast subtree kernels on graphs NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009
Potential-Based Agnostic Boosting NIPS 2009
Bilinear classifiers for visual recognition NIPS 2009
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NIPS 2009
Modeling the spacing effect in sequential category learning NIPS 2009
Submanifold density estimation NIPS 2009
Distribution Matching for Transduction NIPS 2009
Ranking Measures and Loss Functions in Learning to Rank NIPS 2009
AUC optimization and the two-sample problem NIPS 2009
Noisy Generalized Binary Search NIPS 2009
Kernel Methods for Deep Learning NIPS 2009