Properties of the Hypothesis Space and their Effect on Machine Learning
Year: 2013
Type: dissertation
Abstract: The best method to use for machine learning depends on the problem. This thesis considers one aspect of machine learning problems: How do the properties of the hypothesis space affect machine learning? It collects academic advances on how dimensionality and representational capacity of the space and the presence of local optima affect machine learning. Useful additions to generic machine learning methods are listed that deal with these properties. The result is a collective overview on how to design a machine learning process that uses these properties of the hypothesis space.
Author: R.H. Dulek
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W95243900