TY  - GEN
N2  - "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.
AB  - "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.
T1  - Gaussian processes for machine learning /
DA  - ©2006.
CY  - Cambridge, Mass. :
AU  - Rasmussen, Carl Edward.
AU  - Williams, Christopher K. I.
CN  - QA274.4
PB  - MIT Press,
PP  - Cambridge, Mass. :
PY  - ©2006.
ID  - 1386611
KW  - Gaussian processes
KW  - Machine learning
KW  - COMPUTER SCIENCE/Machine Learning & Neural Networks
SN  - 9780262256834
SN  - 0262256835
SN  - 1423769902
SN  - 9781423769903
SN  - 9780262182539
SN  - 026218253X
TI  - Gaussian processes for machine learning /
LK  - https://doi.org/10.7551/mitpress/3206.001.0001?locatt=mode:legacy
LK  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
UR  - https://doi.org/10.7551/mitpress/3206.001.0001?locatt=mode:legacy
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -