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Weakly Supervised Learning

3,905 papers

Papers per year

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20
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Papers

A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters JMLR 2008
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008
Learning to Select Features using their Properties JMLR 2008
Expectation Maximization and Posterior Constraints NIPS 2007
Discriminative Log-Linear Grammars with Latent Variables NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
Multiple-Instance Active Learning NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
Learning Visual Attributes NIPS 2007
Ranking the Best Instances JMLR 2007
Map-Based Precision Vehicle Localization in Urban Environments RSS 2007
Bayesian Ensemble Learning NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Multiple Instance Learning for Computer Aided Diagnosis NIPS 2006
Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006
Max-margin classification of incomplete data NIPS 2006
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006
Managing Diversity in Regression Ensembles JMLR 2005
Sources of Success for Boosted Wrapper Induction JMLR 2004
Image Categorization by Learning and Reasoning with Regions JMLR 2004
Randomized Variable Elimination JMLR 2004
Preference Elicitation via Theory Refinement JMLR 2003
Relational Learning as Search in a Critical Region JMLR 2003
Smooth Boosting and Learning with Malicious Noise JMLR 2003