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» Using Machine Learning to Guide Architecture Simulation
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DAC
2003
ACM
14 years 9 months ago
Learning from BDDs in SAT-based bounded model checking
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...
Aarti Gupta, Malay K. Ganai, Chao Wang, Zijiang Ya...
IJCAI
2007
13 years 9 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
ICRA
1999
IEEE
89views Robotics» more  ICRA 1999»
14 years 10 days ago
An Integrated Interface Tool for the Architecture for Agile Assembly
Developing automated assembly systems normally happens in two distinct stages: rst an o -line" stage in which the system is designed and programmed in simulated and then an o...
Jay Gowdy, Zack J. Butler
EUROMICRO
1996
IEEE
14 years 6 days ago
Behaviour-Preserving Transformations in SHE: A Formal Approach to Architecture Design
SHE (Software/Hardware Engineering) is an objectoriented analysis, specification and design method for complex reactive hardware/software systems. SHE is based on the formal speci...
Jeroen Voeten, P. H. A. van der Putten, M. P. J. S...
BMCBI
2007
95views more  BMCBI 2007»
13 years 8 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao