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Classification

15289 directly classified papers

Papers per year

Papers

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010
Online Passive-Aggressive Algorithms on a Budget AISTATS 2010
A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010
Guarantees for Approximate Incremental SVMs AISTATS 2010
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories AISTATS 2010
HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010
Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010
The Coding Divergence for Measuring the Complexity of Separating Two Sets ACML 2010
Ellipsoidal Support Vector Machines ACML 2010
Learning Polyhedral Classifiers Using Logistic Function ACML 2010
Direct Loss Minimization for Structured Prediction NIPS 2010
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Regularized Discriminant Analysis, Ridge Regression and Beyond JMLR 2010
Convex Multiple-Instance Learning by Estimating Likelihood Ratio NIPS 2010
The Multidimensional Wisdom of Crowds NIPS 2010
Boosting Classifier Cascades NIPS 2010
Trading off Mistakes and Don't-Know Predictions NIPS 2010
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
On Herding and the Perceptron Cycling Theorem NIPS 2010
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
New Adaptive Algorithms for Online Classification NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Large Margin Learning of Upstream Scene Understanding Models NIPS 2010