Computational topology for data analysis, Dey, Tamal Krishna (purdue University, Indiana) Wang, Yusu (university Of California, San Diego)
Автор: Bengtsson Ingemar Название: Geometry of Quantum States ISBN: 1107026253 ISBN-13(EAN): 9781107026254 Издательство: Cambridge Academ Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The second edition of a book that has become a standard reference for researchers working on geometric aspects of quantum entanglement and quantum theory of information. Its comprehensive style makes it suitable for students of physics, information science, and mathematics wishing to learn more about quantum mechanics and quantum entanglement.
Автор: Liao Shijun Название: Advances in the Homotopy Analysis Method ISBN: 9814551244 ISBN-13(EAN): 9789814551243 Издательство: World Scientific Publishing Рейтинг: Цена: 142560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Unlike other analytic techniques, the Homotopy Analysis Method (HAM) is independent of small/large physical parameters. Besides, it provides great freedom to choose equation type and solution expression of related linear high-order approximation equations. The HAM provides a simple way to guarantee the convergence of solution series. Such uniqueness differentiates the HAM from all other analytic approximation methods. In addition, the HAM can be applied to solve some challenging problems with high nonlinearity.This book, edited by the pioneer and founder of the HAM, describes the current advances of this powerful analytic approximation method for highly nonlinear problems. Coming from different countries and fields of research, the authors of each chapter are top experts in the HAM and its applications.
Автор: D.P. Acharjya; Satchidananda Dehuri; Sugata Sanyal Название: Computational Intelligence for Big Data Analysis ISBN: 3319165976 ISBN-13(EAN): 9783319165974 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing.
Автор: Adam E Gaw?da; Janusz Kacprzyk; Leszek Rutkowski; Название: Advances in Data Analysis with Computational Intelligence Methods ISBN: 3319679457 ISBN-13(EAN): 9783319679457 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book is a tribute to Professor Jacek Żurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Żurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few.
At the same time, the book recognizes and honors Professor Żurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields.
The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.
Автор: Cairns Paul Название: Doing Better Statistics in Human-Computer Interaction ISBN: 110871059X ISBN-13(EAN): 9781108710596 Издательство: Cambridge Academ Рейтинг: Цена: 33790.00 T Наличие на складе: Невозможна поставка. Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.
Автор: Cairns Paul Название: Doing Better Statistics in Human-Computer Interaction ISBN: 110848252X ISBN-13(EAN): 9781108482523 Издательство: Cambridge Academ Рейтинг: Цена: 102430.00 T Наличие на складе: Невозможна поставка. Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 110842175X ISBN-13(EAN): 9781108421751 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Поставка под заказ. Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.
Автор: M. Antonia Amaral Turkman, Carlos Daniel Paulino, Peter Muller Название: Computational Bayesian Statistics: An Introduction ISBN: 1108481035 ISBN-13(EAN): 9781108481038 Издательство: Cambridge Academ Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user`s guide for researchers and graduate students from beyond statistics.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 1108432239 ISBN-13(EAN): 9781108432238 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.
Автор: Jose Maria Buzon Garcia, Jose Ramon Gomez Molina Название: Variabilidad en el paradigma verbal de futuro. El espanol de Valencia y de otras sintopias ISBN: 3034320043 ISBN-13(EAN): 9783034320047 Издательство: Peter Lang Рейтинг: Цена: 88640.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Este libro ofrece un analisis variacionista de la expresion verbal de lo futuro en el espanol de la comunidad de habla bilingue castellano-catalan de Valencia. Se investigan tres variantes: futuro morfologico, futuro perifrastico y presente prospectivo, y los resultados se comparan con los obtenidos en otras comunidades monolingues y bilingues del ambito hispanico. Junto a este estudio comparativo que permite conocer el paradigma alternante en el espanol de ambos lados del Atlantico, la obra aporta nuevos modelos para el tratamiento estadistico de los datos. Frente al programa empleado tradicionalmente en el Variacionismo, Goldvarb, se muestran las ventajas de Rbrul y del paquete SPSS; entre ellas, eliminar los knock-out y realizar analisis de regresion logistica multinomial. Tras identificar los factores internos y externos que estimulan cada marca temporal de futuro, se confirma el cambio en marcha favorable al futuro perifrastico y se corrobora el proceso lento de una doble gramaticalizacion: valor modal del futuro morfologico y valor temporal del futuro perifrastico.
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen
Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically.
This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Автор: Taku Onishi Название: Quantum Computational Chemistry ISBN: 9811059322 ISBN-13(EAN): 9789811059322 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Нет в наличии. Описание:
This book is for both theoretical and experimental chemists to begin quantum molecular orbital calculations for functional materials. First, the theoretical background including the molecular orbital calculation method and modelling are explained. This is followed by an explanation of how to do modelling and calculation and to interpret calculated molecular orbitals, with many research examples in the field of batteries, catalysts, organic molecules and biomolecules. Finally, future trends in computational chemistry are introduced.
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