Probabilistic and Statistical Methods in Computer Science

✍ Scribed by Jean-François Mari, René Schott (auth.)

Publisher: Springer US
Year: 2001
Tongue: English
Leaves: 242
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Probabilistic Tools....Pages 3-27
Statistical Tools....Pages 29-53
Front Matter....Pages 55-55
Some Applications in Algorithmics....Pages 57-151
Some Applications in Speech Recognition....Pages 153-176
Some Applications in Robotics....Pages 177-204
Back Matter....Pages 205-236

✦ Subjects

Statistics, general; Artificial Intelligence (incl. Robotics); Probability Theory and Stochastic Processes; Computer Science, general; Signal, Image and Speech Processing

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