The Resource Efficient boosted ensemble-based machine learning in the context of cascaded frameworks : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Auckland, New Zealand, Teo Sušnjak

Efficient boosted ensemble-based machine learning in the context of cascaded frameworks : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Auckland, New Zealand, Teo Sušnjak

Label
Efficient boosted ensemble-based machine learning in the context of cascaded frameworks : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Auckland, New Zealand
Title
Efficient boosted ensemble-based machine learning in the context of cascaded frameworks
Title remainder
a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Auckland, New Zealand
Statement of responsibility
Teo Sušnjak
Creator
Subject
Language
eng
Cataloging source
PU
http://library.link/vocab/creatorName
Sušnjak, Teo
Dissertation note
Thesis (Ph.D.)--Massey University, Albany, 2012
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • abstracts summaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Machine learning
  • Learning classifier systems
Label
Efficient boosted ensemble-based machine learning in the context of cascaded frameworks : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Auckland, New Zealand, Teo Sušnjak
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 179-193)
Contents
1. Introduction -- 2. Ensemble-based machine learning theory -- 3. Methodology -- 4. Applications of PSL to face detection -- 5. PSL with positive sample bootstrapping -- 6. Adaptive cascade classifiers -- 7. Multiclass PSL -- 8. Converting monolithic multiclass methods to cascades -- 9. Conclusion
Control code
14671638
Dimensions
30 cm
Extent
xv, 193 p.
Other physical details
ill. (some col.)
Label
Efficient boosted ensemble-based machine learning in the context of cascaded frameworks : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Auckland, New Zealand, Teo Sušnjak
Publication
Bibliography note
Includes bibliographical references (p. 179-193)
Contents
1. Introduction -- 2. Ensemble-based machine learning theory -- 3. Methodology -- 4. Applications of PSL to face detection -- 5. PSL with positive sample bootstrapping -- 6. Adaptive cascade classifiers -- 7. Multiclass PSL -- 8. Converting monolithic multiclass methods to cascades -- 9. Conclusion
Control code
14671638
Dimensions
30 cm
Extent
xv, 193 p.
Other physical details
ill. (some col.)

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