Summary: ETHEM ALPAYDIN
© The MIT Press, 2010
alpaydin@boun.edu.tr
http://www.cmpe.boun.edu.tr/~ethem/i2ml2e
Lecture Slides for
Rationale
No Free Lunch Theorem: There is no algorithm that is always
the most accurate
Generate a group of base-learners which when combined has
higher accuracy
Different learners use different
Algorithms
Hyperparameters
Representations /Modalities/Views
Training sets
Subproblems
Diversity vs accuracy
3Lecture Notes for E Alpaydin 2010 Introduction to Machine Learning 2e © The MIT Press (V1.0)
Voting
Linear combination

Source: Alpaydýn, Ethem - Department of Computer Engineering, Bogaziçi University

Collections: Computer Technologies and Information Sciences