NDLTD Global ETD Search
  • Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 17
  • 4
  • 1
  • Tagged with
  • 26
  • 26
  • 26
  • 26
  • 17
  • 15
  • 6
  • 5
  • 5
  • 5
  • 4
  • 4
  • 4
  • 4
  • 3
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Search results

Showing 1 to 10 of 26 (0.074 seconds)

Spelling suggestions: "subject:"achine learning; beural networks"" "subject:"achine learning; aeural networks""

1

Modular on-line function approximation for scaling up reinforcement learning

Tham, Chen Khong January 1994 (has links)
No description available.
003.5
Machine learning; Neural networks
2

Design, implementation and applications of the Support Vector method and learning algorithm

Stitson, Mark Oliver January 1999 (has links)
No description available.
005
Machine learning; Neural networks
3

Object-oriented analysis and design of computational intelligence systems

Che, Fidelis Ndeh January 1996 (has links)
No description available.
005
4

A supra-classifier framework for knowledge reuse /

Bollacker, Kurt Dewitt. January 1998 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 136-147). Available also in a digital version from Dissertation Abstracts.
5

Biologically inspired visual models by sparse and unsupervised learning : a dissertation /

Yang, Li. January 2007 (has links)
Thesis (Ph.D.) OGI School of Science & Engineering at OHSU, January 2007. / Abstract: leaves xiii-xiv. Includes bibliographical references (leaves 137-153).
6

Approximation methods for efficient learning of Bayesian networks /

Riggelsen, Carsten. January 1900 (has links)
Thesis (Ph.D.)--Utrecht University, 2006. / Includes bibliographical references (p. [133]-137).
7

Approximation methods for efficient learning of Bayesian networks

Riggelsen, Carsten. January 1900 (has links)
Thesis (Ph.D.)--Utrecht University, 2006. / Includes bibliographical references (p. [133]-137).
8

Modular learning through output space decomposition /

Kumar, Shailesh, January 2000 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 196-213). Available also in a digital version from Dissertation Abstracts.
9

Improving machine learning through oracle learning /

Menke, Joshua E. January 2007 (has links) (PDF)
Thesis (Ph. D.)--Brigham Young University. Dept. of Computer Science, 2007. / Includes bibliographical references (p. 203-209).
10

Approximation methods for efficient learning of Bayesian networks /

Riggelsen, Carsten. January 2008 (has links)
Univ., Diss.--Utrecht.

Page generated in 0.0792 seconds