Classification

Pattern Recognition for Conditionally Independent Data JMLR 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 Qualitative Hybrid Control of Dynamic Bipedal Walking RSS 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006 Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006 Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Single Channel Speech Separation Using Factorial Dynamics NeurIPS 2006 Some Discriminant-Based PAC Algorithms JMLR 2006 Some Theory for Generalized Boosting Algorithms JMLR 2006 Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006 Spam Filtering Using Statistical Data Compression Models JMLR 2006 Sparse Boosting JMLR 2006 Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NeurIPS 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 2006 Sparse Representation for Signal Classification NeurIPS 2006 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006 Stochastic Relational Models for Discriminative Link Prediction NeurIPS 2006 Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006 Subordinate class recognition using relational object models NeurIPS 2006 Support Vector Machines on a Budget NeurIPS 2006 Temporal dynamics of information content carried by neurons in the primary visual cortex NeurIPS 2006 Tighter PAC-Bayes Bounds NeurIPS 2006