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AAAI
2008
15 years 5 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 3 months ago
On the Implementation of the Probabilistic Logic Programming Language ProbLog
The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...
120
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DBPL
1993
Springer
89views Database» more  DBPL 1993»
15 years 7 months ago
Database Programming in Transaction Logic
This paper presents database applications of the recently proposed Transaction Logic—an extension of classical predicate logic that accounts in a clean and declarative fashion f...
Anthony J. Bonner, Michael Kifer, Mariano P. Conse...
LOPSTR
2009
Springer
15 years 9 months ago
Coinductive Logic Programming with Negation
Answer Set Programming (ASP) is a powerful paradigm of logic programming for non-monotonic reasoning. However, the restriction of “grounded range-restricted function-free normal ...
Richard Min, Gopal Gupta
PEPM
2009
ACM
16 years 13 hour ago
Linear logical approximations
ract interpretation of programs relates the exact semantics of a programming language to an approximate semantics that can be effectively computed. We show that, by specifying ope...
Robert J. Simmons, Frank Pfenning