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Classification

1251 directly classified papers

Papers per year

Papers

Potential-Based Agnostic Boosting NIPS 2009
Positive Semidefinite Metric Learning with Boosting NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Discriminative Network Models of Schizophrenia NIPS 2009
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
Breaking Audio CAPTCHAs NIPS 2008
Adaptive Martingale Boosting NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
Tighter Bounds for Structured Estimation NIPS 2008
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NIPS 2008
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NIPS 2008
On the Efficient Minimization of Classification Calibrated Surrogates NIPS 2008
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NIPS 2008
Risk Bounds for Randomized Sample Compressed Classifiers NIPS 2008
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Linear Classification and Selective Sampling Under Low Noise Conditions NIPS 2008
Regularized Boost for Semi-Supervised Learning NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
FilterBoost: Regression and Classification on Large Datasets NIPS 2007
One-Pass Boosting NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007