机读格式显示(MARC)

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• 008 050812s2006 maua b 001 0 eng

• 010 __ |a 2005053433

• 020 __ |a 026218253X

• 020 __ |a 9780262182539

• 020 __ |a 9780262256834

• 024 3_ |a 9780262182539

• 040 __ |a DLC |b eng |c DLC |d YDX |d BAKER |d UKM |d IXA |d IG# |d BTCTA |d YDXCP |d MUQ |d PUL |d STF |d OKU |d DEBBG |d A7U |d DEBSZ |d BDX |d OCLCF |d LIP |d OCLCQ |d NJR |d OCLCO |d MUX |d OCLCQ |d AU@ |d UKMGB |d OCLCQ

• 042 __ |a pcc

• 050 00 |a QA274.4 |b .R37 2006

• 090 __ |a O211.6/X1

• 093 __ |a O211.6 |2 5

• 100 1_ |a Rasmussen, Carl Edward.

• 245 10 |a Gaussian processes for machine learning / |c Carl Edward Rasmussen, Christopher K.I. Williams.

• 260 __ |a Cambridge, Mass. : |b MIT Press, |c 2016

• 300 __ |a xviii, 248 pages : |b illustrations ; |c 26 cm.

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 1_ |a Adaptive computation and machine learning

• 504 __ |a Includes bibliographical references (pages 223-238) and indexes.

• 520 1_ |a "Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics."--Jacket.

• 650 _0 |a Gaussian processes |x Data processing.

• 650 _0 |a Machine learning |x Mathematical models.

• 700 1_ |a Williams, Christopher K. I.