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ICML
2009
IEEE
14 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 4 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
CPAIOR
2009
Springer
14 years 4 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
SAT
2009
Springer
124views Hardware» more  SAT 2009»
14 years 4 months ago
Cardinality Networks and Their Applications
We introduce Cardinality Networks, a new CNF encoding of cardinality constraints. It improves upon the previously existing encodings such as the sorting networks of [ES06] in that ...
Roberto Asín, Robert Nieuwenhuis, Albert Ol...
APN
2007
Springer
14 years 4 months ago
Complete Process Semantics for Inhibitor Nets
In this paper we complete the semantical framework proposed in [12] for process and causality semantics of Petri nets by an additional aim and develop process and causality semanti...
Gabriel Juhás, Robert Lorenz, Sebastian Mau...