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  • Uncertain Differential Equations

    de Kai Yao ...
    Series series Engineering (R0)
    This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation ... Leer más

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    Series series Mathematics and Statistics (R0)
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  • Algorithms for Data Science

    Series series Computer Science (R0)
    This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously ... Leer más

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  • New Developments in Statistical Modeling, Inference and Application

    Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

    Series series Springer Nature Proceedings excluding Computer Science
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  • Advanced R

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    Series series Professional and Applied Computing (R0)
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  • Journeys to Data Mining

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    Series series Computer Science (R0)
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  • Algorithmic Game Theory

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    Edición de Martin Gairing, Rahul Savani ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 9th International Symposium on Algorithmic Game Theory, SAGT 2016, held in Liverpool, UK, in September 2016.The 26 full papers presented together with 2 one-page abstracts were carefully reviewed and selected from 62 submissions.The accepted submissions cover various important aspectsof algorithmic game theory such as computational aspects of ... Leer más

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  • Computer Analysis of Images and Patterns

    17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part II

    Series Libro 2 - Springer Nature Proceedings Computer Science
    The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017.The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; ... Leer más

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  • Algorithmic Advances in Riemannian Geometry and Applications

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    Edición de Hà Quang Minh, Vittorio Murino ...
    Series series Computer Science (R0)
    This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, ... Leer más

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  • R for SAS and SPSS Users

    Series series Mathematics and Statistics (R0)
    While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will provide results most like those from SAS or SPSS. I provide many ... Leer más

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    Series series Computer Science (R0)
    This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting ... Leer más

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  • Probabilistic Cellular Automata

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    Series series Engineering (R0)
    This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules. Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical ... Leer más

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