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Classification

15289 directly classified papers

Papers per year

Papers

Regularized Distance Metric Learning:Theory and Algorithm NIPS 2009
Submodularity Cuts and Applications NIPS 2009
Anomaly Detection with Score functions based on Nearest Neighbor Graphs NIPS 2009
Discriminative Network Models of Schizophrenia NIPS 2009
An LP View of the M-best MAP problem NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Conditional Random Fields with High-Order Features for Sequence Labeling NIPS 2009
Label Selection on Graphs NIPS 2009
Adaptive Regularization of Weight Vectors NIPS 2009
Adaptive Regularization for Transductive Support Vector Machine NIPS 2009
Exponential Family Graph Matching and Ranking NIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
Analysis of SVM with Indefinite Kernels NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Positive Semidefinite Metric Learning with Boosting NIPS 2009
Multi-Label Prediction via Compressed Sensing NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
AUC optimization and the two-sample problem NIPS 2009
Ranking Measures and Loss Functions in Learning to Rank NIPS 2009
Distribution Matching for Transduction NIPS 2009
Modeling the spacing effect in sequential category learning NIPS 2009
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NIPS 2009
Potential-Based Agnostic Boosting NIPS 2009