Gaussian Processes for Machine Learning
1456 Kč 1 508 Kč
Odesíláme do 5 až 7 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..
-
The Prime Number Conspiracy
-
Game Theory
Fudenberg, Drew (Harvard University); Tirole, Jean (Institut d'Economie Industrielle)
-
A Course in Game Theory
Osborne, Martin J. (University of Toronto); Rubinstein, Ariel (Tel Aviv University)
-
Category Theory for the Sciences
Spivak, David I. (Research Scientist, Massachusetts Institute of Technology)
-
Decision Making Under Uncertainty
Kochenderfer, Mykel J.
-
On the Brink of Paradox
Rayo, Agustin
-
Essential Logic for Computer Science
Page, Rex (Professor (Emeritus), University of Oklahoma); Gamboa, Ruben (University of Wyoming)
-
A Course in Networks and Markets
Pass, Rafael (Assistant Professor, Cornell University)
-
Energy and Civilization
Václav Smil
-
Harvesting the Biosphere
Václav Smil
-
Power Density
Václav Smil
-
Atlas of Poetic Zoology
Pouydebat, Emmanuelle
-
The AI Advantage
Davenport, Thomas H.
-
Propaganda Art in the 21st Century
Staal, Jonas (Artist, Studio Jonas Staal)
-
The Promise of Artificial Intelligence
Smith, Brian
-
Handbook of Game-Based Learning