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» Learning and Inference with Constraints
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ICML
2007
IEEE
14 years 8 months ago
Revisiting probabilistic models for clustering with pair-wise constraints
We revisit recently proposed algorithms for probabilistic clustering with pair-wise constraints between data points. We evaluate and compare existing techniques in terms of robust...
Blaine Nelson, Ira Cohen
NIPS
2000
13 years 9 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
CISIS
2008
IEEE
14 years 2 months ago
Inferring the Function of Genes from Synthetic Lethal Mutations
—Techniques for detecting synthetic lethal mutations in double gene deletion experiments are emerging as powerful tool for analysing genes in parallel or overlapping pathways wit...
Oliver Ray, Christopher H. Bryant
MLCW
2005
Springer
14 years 1 months ago
An Inference Model for Semantic Entailment in Natural Language
Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that ...
Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyaka...
IJCAI
2003
13 years 9 months ago
Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference
Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on 10 from semi-structured documents (in XML or HTML) us...
Raymond Kosala, Maurice Bruynooghe, Jan Van den Bu...