A latent variable Gaussian process model with Pitman–Yor process priors for multiclass classification

Sotirios Chatzis

doi:10.1016/j.neucom.2013.04.029

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A latent variable Gaussian process model with Pitman–Yor process priors for multiclass classification

Sotirios Chatzis

Year: 2013 Journal: Neurocomputing Vol: 120 Pages: 482-489 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2013.04.029

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Keywords:

Prior probability Latent variable Artificial intelligence Computer science Gaussian process Process (computing) Latent class model Latent variable model Multiclass classification Variable (mathematics) Pattern recognition (psychology) Mathematics Gaussian Machine learning Algorithm Support vector machine Bayesian probability

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Gaussian Processes and Bayesian Inference

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

A latent variable Gaussian process model with Pitman–Yor process priors for multiclass classification

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