Unsupervised Learning
A Dynamic Approach
A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge-for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers. Inspired by the relative success of existing popular research on self-organizing neural networks for data clustering and feature extraction, Unsupervised Learning: A Dynamic Approach presents information within the family of…
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Produktdetails
Weitere Autoren: Muneesawang, Paisarn / Jarrah, Kambiz / Guan, Ling
- ISBN: 978-1-118-87523-0
- EAN: 9781118875230
- Produktnummer: 16373065
- Verlag: John Wiley & Sons
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 288 S.
- Plattform: PDF
- Masse: 20'611 KB
- Auflage: 1. Auflage
Über den Autor
MATTHEW KYAN received his Ph.D. in Electrical Engineering in 2007 from the University of Sydney, Australia, winning the Siemens National Prize for Innovation for his work with 3-D confocal imaging. He is currently an Assistant Professor at Ryerson University, Toronto, Canada. PAISARN MUNEESAWANG received his Ph.D. from the school of Electrical and Information Engineering at the University of Sydney in 2002. He is currently an Associate Professor at Naresuan University. KAMBIZ JARRAH received his B.Eng. (with honors) in 2004 and M.A.Sc. in 2006, both in Electrical Engineering, from Ryerson University. LING GUAN is a Canada Research Chair in Multimedia and Computer Technology and a Professor in Electrical and Computer Engineering at Ryerson University, Canada.
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