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Weakly Supervised Learning

3895 directly classified papers

Papers per year

Papers

Robust Process Discovery with Artificial Negative Events JMLR 2009
Estimating Labels from Label Proportions JMLR 2009
Learning When Concepts Abound JMLR 2009
Structured output regression for detection with partial truncation NIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Conditional Random Fields with High-Order Features for Sequence Labeling NIPS 2009
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NIPS 2009
Incorporating Functional Knowledge in Neural Networks JMLR 2009
Multi-Label Prediction via Compressed Sensing NIPS 2009
Multi-Level Active Prediction of Useful Image Annotations for Recognition NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 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
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters JMLR 2008
Learning Monotonic Transformations for Classification NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Multiple-Instance Active Learning NIPS 2007
Learning Visual Attributes NIPS 2007
Discriminative Log-Linear Grammars with Latent Variables NIPS 2007
Ranking the Best Instances JMLR 2007