Weakly Supervised Learning

Structured output regression for detection with partial truncation NeurIPS 2009 Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining JMLR 2009 Using Local Dependencies within Batches to Improve Large Margin Classifiers JMLR 2009 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009 A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters JMLR 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Learning to Select Features using their Properties JMLR 2008 Max-margin Classification of Data with Absent Features JMLR 2008 Multi-Level Active Prediction of Useful Image Annotations for Recognition NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Boosting the Area under the ROC Curve NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning Visual Attributes NeurIPS 2007 Map-Based Precision Vehicle Localization in Urban Environments RSS 2007 Multiple-Instance Active Learning NeurIPS 2007 Ranking the Best Instances JMLR 2007 Bayesian Ensemble Learning NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Max-margin classification of incomplete data NeurIPS 2006 Multi-Instance Multi-Label Learning with Application to Scene Classification NeurIPS 2006 Multiple Instance Learning for Computer Aided Diagnosis NeurIPS 2006