Classification

Global Ranking Using Continuous Conditional Random Fields NeurIPS 2008 Gradient Tree Boosting for Training Conditional Random Fields JMLR 2008 Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns JMLR 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data NeurIPS 2008 Hit Miss Networks with Applications to Instance Selection JMLR 2008 JNCC2: The Java Implementation Of Naive Credal Classifier 2 JMLR 2008 Kernel Change-point Analysis NeurIPS 2008 Large Margin Taxonomy Embedding for Document Categorization NeurIPS 2008 Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 JMLR 2008 Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008 Learning to Select Features using their Properties JMLR 2008 LIBLINEAR: A Library for Large Linear Classification JMLR 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NeurIPS 2008 Magic Moments for Structured Output Prediction JMLR 2008 Max-margin Classification of Data with Absent Features JMLR 2008 Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 Nearly Uniform Validation Improves Compression-Based Error Bounds JMLR 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 On Bootstrapping the ROC Curve NeurIPS 2008 Online Learning of Complex Prediction Problems Using Simultaneous Projections JMLR 2008 Online Prediction on Large Diameter Graphs NeurIPS 2008