Gaussian Processes for Machine Learning
Гауссовы процессы для машинного обучения
2005-11-23
SCID: 54.1/b4haru3n
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Gaussian processeskernel machinesmachine learningprobabilistic approach
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Abstract (AI)
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Key Findings
1
Gaussian processes (GPs) provide a principled probabilistic approach to learning in kernel machines.
2
Gaussian processes are presented as a practical method for machine learning tasks.
3
The paper offers a comprehensive and self-contained introduction to Gaussian processes.
Research Object
Gaussian processes as a probabilistic approach to learning in kernel machines
Research Subject
Foundations and practical application of Gaussian processes for machine learning, including their principled probabilistic treatment in kernel-based learning
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2005-11-23
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