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» Learning Teleoreactive Logic Programs from Problem Solving
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JMLR
2006
112views more  JMLR 2006»
13 years 7 months ago
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
Andrea Passerini, Paolo Frasconi, Luc De Raedt
ICML
1994
IEEE
13 years 11 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...
KES
2005
Springer
14 years 25 days ago
Uncertainty Management in Logic Programming: Simple and Effective Top-Down Query Answering
We present a simple, yet general top-down query answering procedure for logic programs managing uncertainty. The main features are: (i) the certainty values are taken from a certai...
Umberto Straccia
ILP
2004
Springer
14 years 21 days ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
WLP
2007
Springer
14 years 1 months ago
spock: A Debugging Support Tool for Logic Programs under the Answer-Set Semantics
Answer-set programming (ASP) is an emerging logic-programming paradigm that strictly separates the description of a problem from its solving methods. Despite its semantic elegance,...
Martin Gebser, Jörg Pührer, Torsten Scha...