Applications

Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Need for Open Source Software in Machine Learning JMLR 2007 Distributed Inference in Dynamical Systems NeurIPS 2006 Image Retrieval and Classification Using Local Distance Functions NeurIPS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NeurIPS 2006 In-Network PCA and Anomaly Detection NeurIPS 2006 Learning Motion Style Synthesis from Perceptual Observations NeurIPS 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Machine Learning for Computer Security JMLR 2006 On Inferring Application Protocol Behaviors in Encrypted Network Traffic 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 Statistical Modeling of Images with Fields of Gaussian Scale Mixtures NeurIPS 2006 Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction JMLR 2003 Learning to Construct Fast Signal Processing Implementations JMLR 2002 Shallow Parsing with PoS Taggers and Linguistic Features JMLR 2002