Processo gaussiano (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Processo gaussiano" in Portuguese language version.

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1platypusinnovation.blogspot.co.uk

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1gaussianprocess.org

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1web.archive.org

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arxiv.org

Barkan, O., Weill, J., & Averbuch, A. (2016). "Gaussian Process Regression for Out-of-Sample Extension". arXiv preprint arXiv:1603.02194.

cam.ac.uk

inference.phy.cam.ac.uk

MacKay, David, J.C. (2003). Information Theory, Inference, and Learning Algorithms (PDF). [S.l.]: Cambridge University Press. 540 páginas. ISBN 9780521642989

doi.org

dx.doi.org

Rasmussen, C. E. (2004). «Gaussian Processes in Machine Learning». Advanced Lectures on Machine Learning. Col: Lecture Notes in Computer Science. 3176. [S.l.: s.n.] pp. 63–71. ISBN 978-3-540-23122-6. doi:10.1007/978-3-540-28650-9_4
Seeger, Matthias (2004). «Gaussian Processes for Machine Learning». International Journal of Neural Systems. 14 (2): 69–104. doi:10.1142/s0129065704001899
Csato, L.; Opper, M. (2002). «Sparse on-line Gaussian processes». Neural Computation. 14 (3): 641–668. doi:10.1162/089976602317250933

gaussianprocess.org

Rasmussen, C.E.; Williams, C.K.I (2006). Gaussian Processes for Machine Learning. [S.l.]: MIT Press. ISBN 0-262-18253-X

platypusinnovation.blogspot.co.uk

«Platypus Innovation: A Simple Intro to Gaussian Processes (a great data modelling tool)»

ucl.ac.uk

web4.cs.ucl.ac.uk

Barber, David (2012). Bayesian Reasoning and Machine Learning. [S.l.]: Cambridge University Press. ISBN 978-0-521-51814-7

ufl.edu

cnel.ufl.edu

Liu, W.; Principe, J.C.; Haykin, S. (2010). Kernel Adaptive Filtering: A Comprehensive Introduction. [S.l.]: John Wiley. ISBN 0-470-44753-2. Consultado em 20 de setembro de 2016. Arquivado do original em 4 de março de 2016

web.archive.org

Liu, W.; Principe, J.C.; Haykin, S. (2010). Kernel Adaptive Filtering: A Comprehensive Introduction. [S.l.]: John Wiley. ISBN 0-470-44753-2. Consultado em 20 de setembro de 2016. Arquivado do original em 4 de março de 2016