Gaussian Processes for Machine Learning
Book published in 2006
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Gaussian Processes for Machine Learning
Summary
Gaussian Processes for Machine Learning is a version, edition or translation[1].
Key Facts
- Gaussian Processes for Machine Learning authored Carl Edward Rasmussen[2].
- Gaussian Processes for Machine Learning authored Christopher K. I. Williams[3].
- Gaussian Processes for Machine Learning's instance of is recorded as version, edition or translation[4].
- Gaussian Processes for Machine Learning was published by The MIT Press[5].
- Gaussian Processes for Machine Learning's part of the series is recorded as Adaptive Computation and Machine Learning[6].
- Gaussian Processes for Machine Learning's language of work or name is recorded as English[7].
- Gaussian Processes for Machine Learning was published on 2006[8].
- Gaussian Processes for Machine Learning's official website is recorded as http://www.gaussianprocess.org/gpml/[9].
- Gaussian Processes for Machine Learning's main subject is Gaussian process[10].
- Gaussian Processes for Machine Learning's main subject is machine learning[11].
- Gaussian Processes for Machine Learning's work available at URL is recorded as http://www.gaussianprocess.org/gpml/chapters/[12].
- Gaussian Processes for Machine Learning's number of pages is recorded as {'unit': '1', 'amount': '+272'}[13].
- Gaussian Processes for Machine Learning's title is recorded as Gaussian Processes for Machine Learning[14].
Body
Authorship and Creation
Authored works include Carl Edward Rasmussen[2], a researcher[15], b. 2000[16] and Christopher K. I. Williams[3], a computer scientist[17], awarded the Fellow of the Royal Society of Edinburgh[18]. Gaussian Processes for Machine Learning was published by The MIT Press[5].
Publication
Gaussian Processes for Machine Learning was published on 2006[8]. Its language of work or name is recorded as English[7]. Its part of the series is recorded as Adaptive Computation and Machine Learning[6].
Subject and Themes
Main subjects include Gaussian process[10] and machine learning[11]. Gaussian Processes for Machine Learning's part of the series is recorded as Adaptive Computation and Machine Learning[6].