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ICCAD
2008
IEEE
140views Hardware» more  ICCAD 2008»
14 years 2 months ago
To SAT or not to SAT: Ashenhurst decomposition in a large scale
Functional decomposition is a fundamental operation in logic synthesis. Prior BDD-based approaches to functional decomposition suffer from the memory explosion problem and do not...
Hsuan-Po Lin, Jie-Hong Roland Jiang, Ruei-Rung Lee
HICSS
2003
IEEE
139views Biometrics» more  HICSS 2003»
13 years 10 months ago
Modeling of information dominance in complex systems: A system partitioning and hybrid control framework
This paper1 provides a view of modeling the information dominance problem of military systems as representative of modeling other complex systems. The ideas are an extension of ea...
John R. James
EMNLP
2011
12 years 5 months ago
Relation Extraction with Relation Topics
This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
Chang Wang, James Fan, Aditya Kalyanpur, David Gon...
BMCBI
2007
157views more  BMCBI 2007»
13 years 5 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
UAI
2008
13 years 6 months ago
Partitioned Linear Programming Approximations for MDPs
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
Branislav Kveton, Milos Hauskrecht