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ICMLA
2009
15 years 4 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
CORR
2008
Springer
116views Education» more  CORR 2008»
15 years 6 months ago
An Evidential Path Logic for Multi-Relational Networks
Multi-relational networks are used extensively to structure knowledge. Perhaps the most popular instance, due to the widespread adoption of the Semantic Web, is the Resource Descr...
Marko A. Rodriguez, Joe Geldart
ISORC
2009
IEEE
16 years 1 months ago
On the Semantics of UML/MARTE Clock Constraints
The UML goal of being a general-purpose modeling language discards the possibility to adopt too precise and strict a semantics. Users are to refine or define the semantics in th...
Frédéric Mallet, Charles André...
DIS
2009
Springer
16 years 1 months ago
Towards an Ontology of Data Mining Investigations
Motivated by the need for unification of the domain of data mining and the demand for formalized representation of outcomes of data mining investigations, we address the task of c...
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
16 years 1 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...