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Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, And Unsupervised Learning
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Bibliographic Detail
Publisher
Springer Verlag
Publication date
April 15, 2006
Pages
260
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9783540316817
ISBN-10
3540316817
Dimensions
0.75 by 6.75 by 9.75 in.
Weight
1.15 lbs.
Published in
Europe
Original list price
$209.00
Summaries and Reviews
Amazon.com description: Product Description: In this new work, the focus is on the dynamical response of metal electrons to several types of incident electromagnetic fields. The author, an eminent theorist, discusses Time-Dependent Local Density Approximation's importance in both elucidating electronic surface excitations and describing the ground state properties of electronic systems. Chapters detail theoretical formulations and computational procedures, covering such areas as single-particle and collective modes, spatial distribution of the induced surface charges, and local electric fields. Excitation spectra are shown for a variety of clean simple metals, noble metals, chemisorbed overlayers, charged surfaces, and small metal particles.
Editions
Hardcover
The price comparison is for this edition
from Springer Verlag (April 15, 2006)
9783540316817 | details & prices | 260 pages | 6.75 × 9.75 × 0.75 in. | 1.15 lbs | List price $209.00
About: In this new work, the focus is on the dynamical response of metal electrons to several types of incident electromagnetic fields.
About: In this new work, the focus is on the dynamical response of metal electrons to several types of incident electromagnetic fields.
Paperback
from Springer Verlag (April 15, 2006)
9783642068560 | details & prices | 276 pages | List price $209.00
About: This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively.
About: This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively.
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