Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation

Author:

Roman Ibai,Santana Roberto,Mendiburu Alexander,Lozano Jose A.

Funder

Basque Government

Gobierno de España Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference55 articles.

1. Gaussian processes for machine learning;Rasmussen,2006

2. J. Močkus, V. Tiesis, A. Zilinskas, The application of Bayesian methods for seeking the extremum, in: Towards Global Optimization, Vol. 2, Elsevier, 1978, pp. 117–129.

3. Automatic model construction with Gaussian processes;Duvenaud,2014

4. Classes of Kernels for Machine Learning: A Statistics Perspective;Genton;J. Mach. Learn. Res.,2002

5. A meta-learning approach to automatic kernel selection for support vector machines;Ali;Neurocomputing,2006

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