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SPLC
2007
15 years 7 months ago
Feature Diagrams and Logics: There and Back Again
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
Krzysztof Czarnecki, Andrzej Wasowski
CORR
2006
Springer
119views Education» more  CORR 2006»
15 years 6 months ago
Calculating modules in contextual logic program refinement
The refinement calculus for logic programs is a framework for deriving logic programs from specifications. It is based on a wide-spectrum language that can express both specificat...
Robert Colvin, Ian J. Hayes, Paul A. Strooper
JAIR
2007
146views more  JAIR 2007»
15 years 6 months ago
Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach
Matchmaking arises when supply and demand meet in an electronic marketplace, or when agents search for a web service to perform some task, or even when recruiting agencies match c...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco M....
ICML
2009
IEEE
16 years 7 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney