331 search results - page 45 / 67 » Learning Approaches to Wrapper Induction |
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
JMLR
2002
14 years 11 months ago
2002
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
105
click to vote
AUSAI
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
ILP
2004
Springer
15 years 5 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
IJCAI
1989
15 years 1 months ago
1989
AI and connectionist approaches to learning from examples differ in knowledge-base representation and inductive mechanisms. To explore these differences we experiment with a syste...