Large-Scale Kernel Machines

Klappentext Topics covered include fast implementations of known algorithms! approximations that are amenable to theoretical guarantees! and algorithms that perform well in practice but are difficult to analyze theoretically. Zusammenfassung Solutions for learning from large scale datasets! including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets.

About the author

Dennis DeCoste is with Microsoft Research.

Product details

• Authors: Leon Bottou, Leon (EDT)/ Chapelle Bottou, Leon Chapelle Bottou, L&, Léon Bottou
• Assisted by: Leon Bottou (Editor), Léon Bottou (Editor), Leon (Research Scientist) Bottou (Editor), Olivier Chapelle (Editor), Olivier (Criteo) Chapelle (Editor), Dennis Decoste (Editor), Jason Weston (Editor)
• Publisher: The MIT Press
• Languages: English
• Age Recommendation: from age 18
• Product format: Hardback
• Released: 17.08.2007
• EAN: 9780262026253
• ISBN: 978-0-262-02625-3
• No. of pages: 408
• Dimensions: 197 mm x 267 mm x 19 mm
• Series: Neural Information Processing Series; Large-Scale Kernel Machines; Neural Information Processing series; Neural Information Processing
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT