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Statistical Learning and Data Sciences

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This volume contains the Proceedings of the Third Symposium on Statistical Learning and Data Sciences, which was held at Royal Holloway, University of London, UK,
during April 20–23, 2015. The original idea of the Symposium on Statistical Learning
and Data Sciences is due to two French academics – Professors Mireille Gettler Summa
and Myriam Touati – from Paris Dauphine University. Back in 2009 they thought that
a “bridge” was required between various academic groups that were involved in research on Machine Learning, Statistical Inference, Pattern Recognition, Data Mining,
Data Analysis, and so on; a sort of multilayer bridge to connect those fields. This is
reflected in the symposium logo with the Passerelle Simone-de-Beauvoir bridge. The
idea was implemented and the First Symposium on Statistical Learning and Data Sciences was held in Paris in 2009. The event was indeed a great “bridge” between various communities with interesting talks by J.-P. Benzecri, V. Vapnik, A. Chervonenkis,
D. Hand, L. Bottou, and many others. Papers based on those talks were later presented
in a volume of the Modulad journal and separately in a post-symposium book entitled
Statistical Learning and Data Sciences, published by Chapman & Hall, CRC Press. The
second symposium, which was equally successful, was held in Florence, Italy, in 2012.

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Detail Information

Series Title

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Call Number

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Publisher

London : Springer., 2015

Collation

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Language

ISBN/ISSN

978-3-319-17091-6

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Statistics

Specific Detail Info

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Statement of Responsibility

Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos

Other Information

Cataloger

Jemadi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-17091-6.pdf?pdf=button

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