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Titlebook: Probabilistic and Statistical Methods in Computer Science; Jean-Fran?ois Mari,René Schott Book 2001 Springer Science+Business Media New Yo

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書(shū)目名稱Probabilistic and Statistical Methods in Computer Science
編輯Jean-Fran?ois Mari,René Schott
視頻videohttp://file.papertrans.cn/757/756839/756839.mp4
圖書(shū)封面Titlebook: Probabilistic and Statistical Methods in Computer Science;  Jean-Fran?ois Mari,René Schott Book 2001 Springer Science+Business Media New Yo
描述.Probabilistic and Statistical Methods in Computer Science.presents a large variety of applications of probability theory andstatistics in computer science and more precisely in algorithmanalysis, speech recognition and robotics. It is written on aself-contained basis: all probabilistic and statistical tools neededare introduced on a comprehensible level. In addition all examples areworked out completely..Most of the material is scattered throughout available literature.However, this is the first volume that brings together all of thismaterial in such an accessible format...Probabilistic and Statistical Methods in Computer Science. isintended for students in computer science and applied mathematics, forengineers and for all researchers interested in applications ofprobability theory and statistics. It is suitable for self study aswell as being appropriate for a course or seminar.
出版日期Book 2001
關(guān)鍵詞Probability theory; algorithm; algorithmics; algorithms; clustering; cognition; computer; computer science;
版次1
doihttps://doi.org/10.1007/978-1-4757-6280-8
isbn_softcover978-1-4419-4877-9
isbn_ebook978-1-4757-6280-8
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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omputer science and more precisely in algorithmanalysis, speech recognition and robotics. It is written on aself-contained basis: all probabilistic and statistical tools neededare introduced on a comprehensible level. In addition all examples areworked out completely..Most of the material is scatter
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stic and Statistical Methods in Computer Science. isintended for students in computer science and applied mathematics, forengineers and for all researchers interested in applications ofprobability theory and statistics. It is suitable for self study aswell as being appropriate for a course or seminar.978-1-4419-4877-9978-1-4757-6280-8
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Statistical ToolsWe explain this test through the following example.
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Some Applications in Roboticsdden Markov models have been used for a long time in pattern recognition, especially in speech recognition. Their main advantages over other methods (.. neural networks, ... ) are their capabilities to modelize noisy temporal signals of variable length.
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