Skip navigation
Skip navigation

Data-Dependent Analysis of Learning Algorithms

Philips, Petra


This thesis studies the generalization ability of machine learning algorithms in a statistical setting. It focuses on the data-dependent analysis of the generalization performance of learning algorithms in order to make full use of the potential of the actual training sample from which these algorithms learn.¶ First, we propose an extension of the standard framework for the derivation of generalization bounds for algorithms taking their hypotheses from random classes of functions. ... ¶ Second,...[Show more]

CollectionsOpen Access Theses
Date published: 2005-05
Type: Thesis (PhD)


File Description SizeFormat Image
01front.pdf58.83 kBAdobe PDFThumbnail
02whole.pdf924.88 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator