Probabilistic and Statistical Methods in Computer Science - Brossura

Mari, Jean-François; Schott, René

Brossura

ISBN 10: 1441948775 ISBN 13: 9781441948779

Casa editrice: Springer, 2010

Riassunto

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.

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Contenuti

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441948775
• ISBN 13: 9781441948779
• Rilegatura: Copertina flessibile
• Numero di pagine: 256
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania