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CP
2007
Springer
14 years 1 months ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb
BMCBI
2010
88views more  BMCBI 2010»
13 years 7 months ago
Robust probabilistic superposition and comparison of protein structures
Background: Protein structure comparison is a central issue in structural bioinformatics. The standard dissimilarity measure for protein structures is the root mean square deviati...
Martin Mechelke, Michael Habeck
UAI
2003
13 years 9 months ago
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
Vítor Santos Costa, David Page, Maleeha Qaz...
ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 7 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
EDBT
2011
ACM
205views Database» more  EDBT 2011»
12 years 11 months ago
A probabilistic XML merging tool
This demonstration paper presents a probabilistic XML data merging tool, that represents the outcome of semi-structured document integration as a probabilistic tree. The system is...
Talel Abdessalem, M. Lamine Ba, Pierre Senellart