Gaussian processes for machine learning
By: Williams, Christopher K. I.
Contributor(s): Rasmussen, Carl Edward.
Material type:
BookSeries: Adaptie computation and machine learning.Publisher: Cambridge: MIT Press, 2006Description: xviii, 248 p.; ill.: 26 cm.ISBN: 026218253X .Subject(s): Gaussian processes -- Data processing | Machine learning -- Mathematical modelsDDC classification: 519.23
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 519.23 RAS (Browse shelf) | Available | 016074 |
Browsing DAIICT Shelves Close shelf browser
| 519.23 MAL Stochastic Analysis | 519.23 MEE Natural introduction to probability theory | 519.23 NEL Stochastic modeling : analysis and simulation | 519.23 RAS Gaussian processes for machine learning | 519.23 SPE Stochastic processes, estimation, and control | 519.23 STO Stochastic geometry and its applications | 519.23 TAY Introduction to Stochastic Modeling |
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