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Analysis of the everyday human environment via large scale commonsense reasoning
 An evidential knowledge representation for drug-mechanisms and its application to drug safety
 
Nondeterministic modeling and verification of networked robotic systems
 Redundancy in Web-scaled information extraction: Probabilistic model and experimental results
 
Coordinated searching and target identification using teams of autonomous agents
 Learning to rank with partially-labeled data
 
Efficient learning and inference in rich statistical representations
 Smoothing class transitions with hard labels
 
Strategies for Similarity-based Learning
 Local-Feature Generic Object Recognition with Application to Insect-Species Identification
 
Parse decoration of the word sequence in the speech-to-text machine-translation pipeline
 Active Learning and Submodular Functions