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Statistical Learning and Data Sciences [electronic resource] : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos.

Contributor(s): Material type: TextSeries: Lecture Notes in Computer Science ; 9047Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XIV, 444 p. 133 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319170916
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
Online resources: In: Springer eBooksSummary: This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.
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This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.