63 search results - page 7 / 13 » Logical settings for concept learning from incomplete exampl... |
KI
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. In this paper we present a comparison of several inductive programming (IP) systems. IP addresses the problem of learning (recursive) programs from incomplete specificati...
ILP
2004
Springer
14 years 27 days ago
2004
Springer
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 ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...
ECML
2003
Springer
14 years 22 days ago
2003
Springer
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
JASIS
2000
13 years 7 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...