343 search results - page 41 / 69 » An Algebraic Approach to Inductive Learning |
GECCO
2007
Springer
14 years 4 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...
ICFP
2006
ACM
14 years 10 months ago
2006
ACM
This paper introduces a pattern for almost compositional functions over recursive data types, and over families of mutually recursive data types. Here "almost compositional&q...
AUSAI
2004
Springer
14 years 3 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
14 years 3 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
13 years 11 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...