Shift-Invariant Grouped Multi-task Learning for Gaussian Processes

Yuyang Wang; Roni Khardon; Pavlos Protopapas

doi:10.1007/978-3-642-15939-8_27

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Shift-Invariant Grouped Multi-task Learning for Gaussian Processes

Yuyang Wang Roni Khardon Pavlos Protopapas

Year: 2010 Lecture notes in computer science Pages: 418-434 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-15939-8_27

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Keywords:

Computer science Gaussian process Invariant (physics) Artificial intelligence Gaussian Time series Series (stratigraphy) Machine learning Task (project management) Mixture model Bayesian probability Function (biology) Nonparametric statistics Pattern recognition (psychology) Mathematics Statistics

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Gaussian Processes and Bayesian Inference

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Shift-Invariant Grouped Multi-task Learning for Gaussian Processes

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