Gaussian processes for machine learning /

"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 an...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Rasmussen, Carl Edward
Autres auteurs: Williams, Christopher K. I.
Format: Électronique eBook
Langue:Inglés
Publié: Cambridge, Mass. : MIT Press, ©2006.
Collection:Adaptive computation and machine learning.
Sujets:
Gaussian processes > Data processing.
Machine learning > Mathematical models.
Processus gaussiens > Informatique.
Apprentissage automatique > Modèles mathématiques.
MATHEMATICS > Probability & Statistics > Stochastic Processes.
Gaussian processes > Data processing
Machine learning > Mathematical models
Gauß-Prozess
Maschinelles Lernen
COMPUTER SCIENCE/Machine Learning & Neural Networks
neurale netwerken
neural networks
statistiek
statistics
gegevensverwerking
data processing
patroonherkenning
pattern recognition
kunstmatige intelligentie
artificial intelligence
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
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