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Classification

15289 directly classified papers

Papers per year

Papers

Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006
Gait Regulation and Feedback on a Robotic Climbing Hexapod RSS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Subordinate class recognition using relational object models NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Prediction on a Graph with a Perceptron NIPS 2006
Logistic Regression for Single Trial EEG Classification NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
Learning from Multiple Sources NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Max-margin classification of incomplete data NIPS 2006
Ordinal Regression by Extended Binary Classification NIPS 2006
A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006