Gaussian Processes for Machine Learning
1523 Kč 1 577 Kč
Odesíláme do 3 až 5 dní
Sleva až 70% u třetiny knih
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
| Autor: | Rasmussen, Carl Edward (University of Cambridge); Williams, Christopher K. I. (University of Edinburgh) |
| Nakladatel: | MIT Press Ltd |
| ISBN: | 9780262182539 |
| Rok vydání: | 2005 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 272 |
Mohlo by se vám také líbit..
-
Energy and Civilization
Václav Smil
-
Made in the USA
Václav Smil
-
Harvesting the Biosphere
Václav Smil
-
Experiencing Architecture
Steen Eiler Rasmussen
-
Atlas of Poetic Zoology
Pouydebat, Emmanuelle
-
The Promise of Artificial Intelligence
Smith, Brian
-
A Brain for Numbers
Nieder, Andreas (Professor of Animal Physiology, University of Tubingen)
-
MATERIAL WITNESS
Schuppli, Susan (Senior Research Fellow, Goldsmiths, University of London)
-
The Smart Enough City
Sefton-Green, Julian (Deakin University, Australia); Watkins, S Craig; Kirshner, Ben
-
Deep Learning
Kelleher, John D.
-
Sweet Anticipation
Huron, David (Ohio State University)
-
Urban Code
Mikoleit, Anne; Purckhauer, Moritz
-
Power in a Warming World
Ciplet, David (Assistant Professor, University of Colorado Boulder); Roberts, J. Timmons (Director, Brown University); K
-
The Return of the Real
Hal Foster
-
Being No One
Metzinger, Thomas
-
State-Space Models with Regime Switc...
Kim, Chang-Hun