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Classification

15289 directly classified papers

Papers per year

Papers

Trust Region Newton Method for Logistic Regression JMLR 2008
Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008
An Error Bound Based on a Worst Likely Assignment JMLR 2008
Support Vector Machinery for Infinite Ensemble Learning JMLR 2008
Hit Miss Networks with Applications to Instance Selection JMLR 2008
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
Global Ranking Using Continuous Conditional Random Fields NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NIPS 2008
Online Prediction on Large Diameter Graphs NIPS 2008
Multi-label Multiple Kernel Learning NIPS 2008
Overlaying classifiers: a practical approach for optimal ranking NIPS 2008
Supervised Dictionary Learning NIPS 2008
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data NIPS 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NIPS 2008
Large Margin Taxonomy Embedding for Document Categorization NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing NIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NIPS 2008
Fast Prediction on a Tree NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
Spike Feature Extraction Using Informative Samples NIPS 2008
Probabilistic detection of short events, with application to critical care monitoring NIPS 2008
Breaking Audio CAPTCHAs NIPS 2008
Max-margin Classification of Data with Absent Features JMLR 2008