Uniform Learning of Recursive Functions
Sandra Zilles(Author)
Akademische Verlagsgesellschaft AKA
1st Edition
Published on 19. December 2003
Book
Paperback/Softback
X, 168 pages
978-3-89838-278-6 (ISBN)
Description
Inductive inference is concerned with formal models of learning behaviour for the analysis of general learning phenomenons. In this context, the author studies uniform inductive inference - an approach to meta-learning in the sense that, given descriptions of solvable learning problems, a meta-learner has to develop successful learners for each of them. It turns out that uniform learning is not a trivial task: the success of meta-learners strongly depends on the choice of the particular descriptions of the learning problems. The present study investigates the capabilities of meta-learners, resulting from three different formal approaches to uniform learning. The strength and weakness of uniform learning is illustrated by numerous examples; in particular, the success of specific universal methods is analysed. Finally, a formal analysis of the complexity of different learning tasks concludes the study.
More details
Thesis
Doctoral thesis
2003
Technischen Universität Kaiserslautern
Edition
1., Aufl.
Language
English
Dimensions
Height: 21 cm
Width: 14.8 cm
ISBN-13
978-3-89838-278-6 (9783898382786)
Schweitzer Classification