text classification

Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 Measuring Differentiability: Unmasking Pseudonymous Authors JMLR 2007 Multiple-Instance Active Learning NeurIPS 2007 Supervised Topic Models NeurIPS 2007 Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Isotonic Conditional Random Fields and Local Sentiment Flow NeurIPS 2006 Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006 Spam Filtering Using Statistical Data Compression Models JMLR 2006 Dimension Reduction in Text Classification with Support Vector Machines JMLR 2005 A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003 An Extensive Empirical Study of Feature Selection Metrics for Text Classification JMLR 2003 Word-Sequence Kernels JMLR 2003 Text Chunking based on a Generalization of Winnow JMLR 2002 Text Classification using String Kernels JMLR 2002 Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001