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ICLP
2009
Springer
16 years 1 months ago
Using Histograms to Better Answer Queries to Probabilistic Logic Programs
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
AUTOMATICA
2008
167views more  AUTOMATICA 2008»
15 years 20 days ago
Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming
A wide variety of stability and performance questions about linear dynamical systems can be reformulated as convex optimization problems involving linear matrix inequalities (LMIs...
Erin M. Aylward, Pablo A. Parrilo, Jean-Jacques E....
ICLP
1997
Springer
15 years 4 months ago
Non-Failure Analysis for Logic Programs
We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at leas...
Saumya K. Debray, Pedro López-García...
107
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JAIR
2006
102views more  JAIR 2006»
15 years 15 days ago
Properties and Applications of Programs with Monotone and Convex Constraints
We study properties of programs with monotone and convex constraints. We extend to these formalisms concepts and results from normal logic programming. They include the notions of...
Lengning Liu, Miroslaw Truszczynski
DAC
2002
ACM
16 years 1 months ago
Watermarking integer linear programming solutions
Linear programming (LP) in its many forms has proven to be an indispensable tool for expressing and solving optimization problems in numerous domains. We propose the first set of ...
Seapahn Megerian, Milenko Drinic, Miodrag Potkonja...