Classification

FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NeurIPS 2007 General Polynomial Time Decomposition Algorithms JMLR 2007 Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007 GRIFT: A graphical model for inferring visual classification features from human data NeurIPS 2007 Handling Missing Values when Applying Classification Models JMLR 2007 Hidden Common Cause Relations in Relational Learning NeurIPS 2007 How SVMs can estimate quantiles and the median NeurIPS 2007 Infinitely Imbalanced Logistic Regression JMLR 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 Large Margin Semi-supervised Learning JMLR 2007 Learning Horn Expressions with LOGAN-H JMLR 2007 Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Learning to Classify Ordinal Data: The Data Replication Method JMLR 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Margin Trees for High-dimensional Classification JMLR 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Measuring Differentiability: Unmasking Pseudonymous Authors JMLR 2007 Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007 Multi-class Protein Classification Using Adaptive Codes JMLR 2007 Multiple-Instance Pruning For Learning Efficient Cascade Detectors NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007