Classification

Noise Tolerant Variants of the Perceptron Algorithm JMLR 2007 Nonlinear Boosting Projections for Ensemble Construction JMLR 2007 One-Pass Boosting NeurIPS 2007 On higher-order perceptron algorithms NeurIPS 2007 Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007 On the Consistency of Multiclass Classification Methods JMLR 2007 Optimal ROC Curve for a Combination of Classifiers NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 Ranking the Best Instances JMLR 2007 Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing NeurIPS 2007 Regularized Boost for Semi-Supervised Learning NeurIPS 2007 Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007 Second Order Bilinear Discriminant Analysis for single trial EEG analysis NeurIPS 2007 Semi-Supervised Multitask Learning NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007 Structure and Majority Classes in Decision Tree Learning JMLR 2007 Structured Learning with Approximate Inference NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Supervised Topic Models NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 The discriminant center-surround hypothesis for bottom-up saliency NeurIPS 2007 The Generalized FITC Approximation NeurIPS 2007