Gaussian Processes for Machine Learning

E1835048 UNEXPLORED

Gaussian Processes for Machine Learning is a foundational textbook that introduces and develops the theory and practical application of Gaussian process models in probabilistic machine learning.

Try in SPARQL Jump to: Surface forms Referenced by

All labels observed (1)

Label	Occurrences
Gaussian Processes for Machine Learning canonical	1

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Carl Edward Rasmussen → authorOf → Gaussian Processes for Machine Learning ⓘ

subject linked to: Carl Rasmussen