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Classification

15,805 papers

Papers per year

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26
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Papers

Noisy Generalized Binary Search NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Multi-Label Prediction via Compressed Sensing NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
An LP View of the M-best MAP problem NIPS 2009
Discriminative Network Models of Schizophrenia NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Analysis of SVM with Indefinite Kernels NIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
Exponential Family Graph Matching and Ranking NIPS 2009
Adaptive Regularization for Transductive Support Vector Machine NIPS 2009
Adaptive Regularization of Weight Vectors NIPS 2009
Label Selection on Graphs NIPS 2009
Conditional Random Fields with High-Order Features for Sequence Labeling NIPS 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Anomaly Detection with Score functions based on Nearest Neighbor Graphs NIPS 2009
Submodularity Cuts and Applications NIPS 2009
Regularized Distance Metric Learning:Theory and Algorithm NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
Optimal Scoring for Unsupervised Learning NIPS 2009
Statistical Consistency of Top-k Ranking NIPS 2009
Speaker Comparison with Inner Product Discriminant Functions NIPS 2009
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009