计算机网络-自顶向下方法(第五版)英文版 Computer Networking - A Top-Down Approach (5th Edition).mobi

Artificial Intelligence A Modern Approach, 3rd Edition Artificial Intelligence A Modern Approach, 3rd Edition

Stochastic Geometry and Its Applications, 3rd Edition Sung Nok Chiu, Dietrich Stoyan, Wilfrid S. Kendall, Joseph Mecke ISBN: 978-0-470-66481-0 582 pages July 2013 Description An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, engineering, biology and environmental sciences. They offer successful models for the description of random two- and three-dimensional micro and macro structures and statistical methods for their analysis. The previous edition of this book has served as the key reference in its field for over 18 years and is regarded as the best treatment of the subject of stochastic geometry, both as a subject with vital applications to spatial statistics and as a very interesting field of mathematics in its own right. This edition: Presents a wealth of models for spatial patterns and related statistical methods. Provides a great survey of the modern theory of random tessellations, including many new models that became tractable only in the last few years. Includes new sections on random networks and random graphs to review the recent ever growing interest in these areas. Provides an excellent introduction to theory and modelling of point processes, which covers some very latest developments. Illustrate the forefront theory of random sets, with many applications. Adds new results to the discussion of fibre and surface processes. Offers an updated collection of useful stereological methods. Includes 700 new references. Is written in an accessible style enabling non-mathematicians to benefit from this book. Provides a companion website hosting information on recent developments in the field www.wiley.com/go/cskm Stochastic Geometry and its Applications is ideally suited for researchers in physics, materials science, biology and ecological sciences as well as mathematicians and statisticians. It should also serve as a valuable introduction to the su

《自动语音识别：一种深度学习方法》，此书为语音识别领域最新著作，具有极高的参考价值。

Stochastic network optimization with application to communication and queueing systems， 经典的教材

Markov Decision Processes Discrete Stochastic Dynamic Programming

Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance) (Paperback) by Steven E. Shreve (Author) Book Description Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes. This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume. Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance. Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education. Publisher: Springer; 1 edition (June 28, 2005) Language: English ISBN-10: 0387249680 ISBN-13: 978-0387249681

《随机过程导论》，英文名《An introduction to stochastic processes》，Edward P.C. Kao 著，第一部分。

《随机过程导论》，英文名《An introduction to stochastic processes》，Edward P.C. Kao 著，第二部分。请用DjView打开。

这本书是谱方法的经典之作，Springer出版社出版。谱方法是机器学习中重要的一种方法，利用特征值特征向量，奇异值分解等方法。本书讲述的是其应用，算法和分析。道客巴巴上下载需要16，另一个书籍下载网上需要50，csdn上有另一个人传输的这本书只有136页，而本书应该是486页，这是全文版本。数学书籍决定你未来能走多远。