Hybrid discriminative-generative approach with Gaussian processes

Andrade-Pacheco, Ricardo and Hensman, James and Zwießele, Max and Lawrence, Neil D. (2014) Hybrid discriminative-generative approach with Gaussian processes. Proceedings of Machine Learning Research, 33. pp. 47-56. ISSN 1938-7228

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Abstract

Machine learning practitioners are often faced with a choice between a discriminative and a generative approach to modelling. Here, we present a model based on a hybrid approach that breaks down some of the barriers between the discriminative and generative points of view, allowing continuous dimensionality reduction of hybrid discrete-continuous data, discriminative classification with missing inputs and manifold learning informed by class labels.

Item Type:
Journal Article
Journal or Publication Title:
Proceedings of Machine Learning Research
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
ID Code:
84331
Deposited By:
Deposited On:
25 Jan 2017 13:34
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jan 2020 03:05