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Computational Learning notes by: Eyal Amir
 

Summary: Computational Learning
notes by: Eyal Amir
March 20, 1997
Abstract
This file comes to organize my knowledge on Computational Learning
Theory. It is a summary taken mostly from [RN95] and [Nil97].
Contents
1 Background issues 2
1.1 Boolean functions . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 Statistical Decision Theory . . . . . . . . . . . . . . . . . . . . . 2
2 Supervised Learning 2
2.1 Parametric/Algebraic methods . . . . . . . . . . . . . . . . . . . 2
2.1.1 Neural Networks . . . . . . . . . . . . . . . . . . . . . . . 2
2.1.2 Learning Bayes Nets . . . . . . . . . . . . . . . . . . . . . 3
2.1.3 Nearest Neighbour . . . . . . . . . . . . . . . . . . . . . . 4
2.1.4 Reinforcement Learning . . . . . . . . . . . . . . . . . . . 4
2.1.5 Genetic Algorithms . . . . . . . . . . . . . . . . . . . . . . 5
2.2 Logic/Symbolic methods . . . . . . . . . . . . . . . . . . . . . . . 5
2.2.1 EBL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2.2 ILP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

  

Source: Amir, Eyal - Department of Computer Science, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences