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OverviewProbabilistic 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 DetailsAuthor: Jean-François Mari , René SchottPublisher: 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: 9781441948779ISBN 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 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 ContentsI 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |