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ILP
2007
Springer
16 years 24 days ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
AICCSA
2006
IEEE
133views Hardware» more  AICCSA 2006»
16 years 22 days ago
Learning acyclic rules based on Chaining Genetic Programming
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
NORDICHI
2006
ACM
16 years 18 days ago
Video storytelling as mediation of organizational learning
Stories help us structure our perception of a complex reality. Stories told in a workplace context also help to preserve knowledge of the organization, which is especially importa...
Cecilia Katzeff, Vanessa Ware
ESWS
2004
Springer
16 years 1 days ago
Learning to Harvest Information for the Semantic Web
Abstract. In this paper we describe a methodology for harvesting information from large distributed repositories (e.g. large Web sites) with minimum user intervention. The methodol...
Fabio Ciravegna, Sam Chapman, Alexiei Dingli, Yori...
ECML
2003
Springer
15 years 12 months ago
Robust k-DNF Learning via Inductive Belief Merging
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...
Frédéric Koriche, Joël Quinquet...