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» Learning Stochastic Logic Programs
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FLAIRS
2008
13 years 10 months ago
Toward Markov Logic with Conditional Probabilities
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
Jens Fisseler
ALT
1994
Springer
13 years 11 months ago
Explanation-Based Reuse of Prolog Programs
This paper presents a method of extracting subprograms from background knowledge. Most studies on learning logic programs so far developed are mainly concerned with pure Prolog, so...
Yasuyuki Koga, Eiju Hirowatari, Setsuo Arikawa
IJCAI
1989
13 years 8 months ago
Explanation Based Program Transformation
Fold-unfold is a well known program transformation technique. Its major drawback is that folding requires an Eureka step to invent new procedures. In the context of logic programm...
Maurice Bruynooghe, Luc De Raedt, Danny De Schreye
KI
2007
Springer
14 years 1 months ago
Inductive Synthesis of Recursive Functional Programs
Abstract. We compare three systems for the task of synthesising functional recursive programs, namely Adate, an approach through evolutionary computation, the classification learn...
Martin Hofmann 0008, Andreas Hirschberger, Emanuel...
CISIS
2009
IEEE
14 years 2 months ago
A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks
—This paper describes a new logic-based approach for representing and reasoning about metabolic networks. First it shows how biological pathways can be elegantly represented in a...
Oliver Ray, Ken E. Whelan, Ross D. King