Probabilistic and Statistical Methods in Computer Science

Author:   Jean-François Mari ,  René Schott
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2001
ISBN:  

9781441948779


Pages:   236
Publication Date:   03 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
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Probabilistic and Statistical Methods in Computer Science


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Overview

Probabilistic and Statistical Methods in Computer Science presents 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 Science is 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.

Full Product Details

Author:   Jean-François Mari ,  René Schott
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2001
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441948779


ISBN 10:   1441948775
Pages:   236
Publication Date:   03 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

I Preliminaries.- 1. Probabilistic Tools.- 2. Statistical Tools.- 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.

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