Probabilistic and Statistical Methods in Computer Science by Jean-François MariProbabilistic and Statistical Methods in Computer Science by Jean-François Mari

Probabilistic and Statistical Methods in Computer Science

byJean-François Mari, Ren Schott

Paperback | December 3, 2010

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Probabilistic and Statistical Methods in Computer Sciencepresents a large variety of applications of probability theory and statistics in computer science and more precisely in algorithm analysis, speech recognition and robotics. It is written on a self-contained basis: all probabilistic and statistical tools needed are introduced on a comprehensible level. In addition all examples are worked out completely.
Most of the material is scattered throughout available literature. However, this is the first volume that brings together all of this material in such an accessible format.
Probabilistic and Statistical Methods in Computer Scienceis intended for students in computer science and applied mathematics, for engineers and for all researchers interested in applications of probability theory and statistics. It is suitable for self study as well as being appropriate for a course or seminar.
Title:Probabilistic and Statistical Methods in Computer ScienceFormat:PaperbackDimensions:236 pagesPublished:December 3, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1441948775

ISBN - 13:9781441948779

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Table of Contents

List of Figures. List of Tables. Preface. Part I: Preliminaries. 1. Probabilistic Tools. 2. Statistical Tools. Part II: Applications. 3. Some Applications in Algorithmics. 4. Some Applications in Speech Recognition. 5. Some Applications in Robotics. Appendices: A. Some useful statistical programs. 1. The Gaussian density class. 2. The Centroid class. 3. The Top down clustering program. References. Index.