machine learning

Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014 Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013 A Stability-based Validation Procedure for Differentially Private Machine Learning NeurIPS 2013 Differentially Private Learning with Kernels ICML 2013 Orange: Data Mining Toolbox in Python JMLR 2013 Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds CVPR 2013 Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features JMLR 2012 Pattern for Python JMLR 2012 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 Boosting Classifier Cascades NeurIPS 2010 Efficient Minimization of Decomposable Submodular Functions NeurIPS 2010 Static Analysis of Binary Executables Using Structural SVMs NeurIPS 2010 Java-ML: A Machine Learning Library JMLR 2009 Breaking Audio CAPTCHAs NeurIPS 2008 Playing Pinball with non-invasive BCI NeurIPS 2008 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Similarity by Composition NeurIPS 2006 The Interplay of Optimization and Machine Learning Research JMLR 2006 Efficient Algorithms for Decision Tree Cross-validation JMLR 2002 Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing JMLR 2002