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ILP
2005
Springer
16 years 8 days ago
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops
Recursive loops in a logic program present a challenging problem to the PLP framework. On the one hand, they loop forever so that the PLP backward-chaining inferences would never s...
Yi-Dong Shen, Qiang Yang
AGP
2010
IEEE
15 years 12 months ago
Constraint Logic Programming
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it attracts the interest of theoreticians and practitioners, and it is currently use...
Marco Gavanelli, Francesca Rossi
BMCBI
2006
141views more  BMCBI 2006»
15 years 6 months ago
Visual setup of logical models of signaling and regulatory networks with ProMoT
Background: The analysis of biochemical networks using a logical (Boolean) description is an important approach in Systems Biology. Recently, new methods have been proposed to ana...
Julio Saez-Rodriguez, Sebastian Mirschel, Rebecca ...
JACM
2010
137views more  JACM 2010»
15 years 5 months ago
Reconciling description logics and rules
Description logics (DLs) and rules are formalisms that emphasize different aspects of knowledge representation: whereas DLs are focused on specifying and reasoning about conceptual...
Boris Motik, Riccardo Rosati
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 10 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato