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TACAS
1997
Springer
146views Algorithms» more  TACAS 1997»
15 years 7 months ago
Compositional State Space Generation from Lotos Programs
This paper describes a compositional approach to generate the labeled transition system representing the behavior of a Lotos program by repeatedly alternating composition and reduc...
Jean-Pierre Krimm, Laurent Mounier
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
LPNMR
1995
Springer
15 years 6 months ago
Hypothetical Updates, Priority and Inconsistency in a Logic Programming Language
In this paper we propose a logic programming language which supports hypothetical updates together with integrity constraints. The language allows sequences of updates by sets of a...
Dov M. Gabbay, Laura Giordano, Alberto Martelli, N...
ICML
1994
IEEE
15 years 6 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
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