E-Book, Englisch, Band 17, 260 Seiten, eBook
Huang / Kecman / Kopriva Kernel Based Algorithms for Mining Huge Data Sets
Erscheinungsjahr 2006
ISBN: 978-3-540-31689-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Supervised, Semi-supervised, and Unsupervised Learning
E-Book, Englisch, Band 17, 260 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-540-31689-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Support Vector Machines in Classification and Regression — An Introduction.- Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance.- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis.- Semi-supervised Learning and Applications.- Unsupervised Learning by Principal and Independent Component Analysis.