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» ILP for Mathematical Discovery
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ILP
2003
Springer
13 years 9 months ago
ILP for Mathematical Discovery
We believe that AI programs written for discovery tasks will need to simultaneously employ a variety of reasoning techniques such as induction, abduction, deduction, calculation an...
Simon Colton, Stephen Muggleton
ML
2006
ACM
143views Machine Learning» more  ML 2006»
13 years 4 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
ECAI
2004
Springer
13 years 10 months ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
IJMMS
2000
76views more  IJMMS 2000»
13 years 4 months ago
On the notion of interestingness in automated mathematical discovery
We survey five mathematical discovery programs by looking in detail at the discovery processes they illustrate and the success they've had. We focus on how they estimate the ...
Simon Colton, Alan Bundy, Toby Walsh
IPPS
2000
IEEE
13 years 9 months ago
The Parallelization of a Knowledge Discovery System with Hypergraph Representation
Abstract. Knowledge discovery is a time-consuming and space intensive endeavor. By distributing such an endeavor, we can diminish both time and space. System INDEDpronounced indee...
Jennifer Seitzer, James P. Buckley, Yi Pan, Lee A....