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183
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ICLP
2009
Springer
16 years 8 days ago
Answer Set Programming with Constraints Using Lazy Grounding
The paper describes a novel methodology to compute stable models in Answer Set Programming. The proposed approach relies on a bottom-up computation that does not require a prelimin...
Agostino Dovier, Alessandro Dal Palù, Enric...
189
Voted
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 4 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
COLT
1994
Springer
15 years 3 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
87
Voted
ATAL
2010
Springer
15 years 23 days ago
Formalizing organizational constraints: a semantic approach
An organizational modeling language can be used to specify an agent organization in terms of its roles, organizational structure, norms, etc. Such an organizational specification ...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...
BMCBI
2010
102views more  BMCBI 2010»
14 years 11 months ago
SAMPLEX: Automatic mapping of perturbed and unperturbed regions of proteins and complexes
Background: The activity of proteins within the cell is characterized by their motions, flexibility, interactions or even the particularly intriguing case of partially unfolded st...
Mickaël Krzeminski, Karine Loth, Rolf Boelens...