Twin Gaussian Processes for Structured Prediction
Twin Gaussian Processes for Structured Prediction
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Author / Creator
Publisher
Boston: Springer US
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Language
English
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Publication information
Publisher
Boston: Springer US
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Scope and Contents
Contents
We describe twin Gaussian processes (TGP), a generic structured prediction method that uses Gaussian process (GP) priors on both covariates and responses, both multivariate, and estimates outputs by minimizing the Kullback-Leibler divergence between two GP modeled as normal distributions over finite index sets of training and testing examples, emph...
Alternative Titles
Full title
Twin Gaussian Processes for Structured Prediction
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_907933088
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_907933088
Other Identifiers
ISSN
0920-5691
E-ISSN
1573-1405
DOI
10.1007/s11263-008-0204-y
