Classification

Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006 Large Scale Multiple Kernel Learning JMLR 2006 Large Scale Transductive SVMs JMLR 2006 Learning from Multiple Sources NeurIPS 2006 Learning Minimum Volume Sets JMLR 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Learning with Hypergraphs: Clustering, Classification, and Embedding NeurIPS 2006 Logistic Regression for Single Trial EEG Classification NeurIPS 2006 Maximum-Gain Working Set Selection for SVMs JMLR 2006 Max-margin classification of incomplete data NeurIPS 2006 Multi-Instance Multi-Label Learning with Application to Scene Classification NeurIPS 2006 Multiple Instance Learning for Computer Aided Diagnosis NeurIPS 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006 One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006 On Inferring Application Protocol Behaviors in Encrypted Network Traffic JMLR 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Optimal Single-Class Classification Strategies NeurIPS 2006 Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 Part-based Probabilistic Point Matching using Equivalence Constraints NeurIPS 2006