Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download A Generalized Error Function In N Dimensions full books in PDF, epub, and Kindle. Read online A Generalized Error Function In N Dimensions ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author :
Publisher :
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.:/5 (31 download)
Download or read book U.S. Government Research Reports written by and published by . This book was released on 1963 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Defense Documentation Center (U.S.)
Publisher :
ISBN 13 :
Total Pages : 1148 pages
Book Rating : 4.:/5 (5 download)
Download or read book Technical Abstract Bulletin written by Defense Documentation Center (U.S.) and published by . This book was released on 1964 with total page 1148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David. H Wolpert
Publisher : CRC Press
ISBN 13 : 0429972156
Total Pages : 311 pages
Book Rating : 4.4/5 (299 download)
Download or read book The Mathematics Of Generalization written by David. H Wolpert and published by CRC Press. This book was released on 2018-03-05 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides different mathematical frameworks for addressing supervised learning. It is based on a workshop held under the auspices of the Center for Nonlinear Studies at Los Alamos and the Santa Fe Institute in the summer of 1992.
Author : Robert Calderbank, G. David Forney, Jr., and Nader Moayeri
Publisher : American Mathematical Soc.
ISBN 13 : 9780821870600
Total Pages : 298 pages
Book Rating : 4.8/5 (76 download)
Download or read book Coding and Quantization written by Robert Calderbank, G. David Forney, Jr., and Nader Moayeri and published by American Mathematical Soc.. This book was released on with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the DIMACS/IEEE workshop on coding and quantization. The theme of the workshop was the application of discrete mathematics to reliable data transmission and source compression. These applications will become more significant in the coming years, with the advent of high capacity cellular networks, personal communications devices, and the ``wireless office''. The articles are written by experts from industry and from academia. Requiring only a background in basic undergraduate mathematics, this book appeals to mathematicians interested in multidimensional Euclidean geometry (especially lattice theory), as well as to engineers interested in bandwidth efficient communication or vector quantization.
Author : Partha Niyogi
Publisher : Springer Science & Business Media
ISBN 13 : 1461554594
Total Pages : 240 pages
Book Rating : 4.4/5 (615 download)
Download or read book The Informational Complexity of Learning written by Partha Niyogi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar brings together two important but very different learning problems within the same analytical framework. The first concerns the problem of learning functional mappings using neural networks, followed by learning natural language grammars in the principles and parameters tradition of Chomsky. These two learning problems are seemingly very different. Neural networks are real-valued, infinite-dimensional, continuous mappings. On the other hand, grammars are boolean-valued, finite-dimensional, discrete (symbolic) mappings. Furthermore the research communities that work in the two areas almost never overlap. The book's objective is to bridge this gap. It uses the formal techniques developed in statistical learning theory and theoretical computer science over the last decade to analyze both kinds of learning problems. By asking the same question - how much information does it take to learn? - of both problems, it highlights their similarities and differences. Specific results include model selection in neural networks, active learning, language learning and evolutionary models of language change. The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar is a very interdisciplinary work. Anyone interested in the interaction of computer science and cognitive science should enjoy the book. Researchers in artificial intelligence, neural networks, linguistics, theoretical computer science, and statistics will find it particularly relevant.
Author : W. W. L. Chen
Publisher : Cambridge University Press
ISBN 13 : 0521515386
Total Pages : 493 pages
Book Rating : 4.5/5 (215 download)
Download or read book Analytic Number Theory written by W. W. L. Chen and published by Cambridge University Press. This book was released on 2009-02-19 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of papers inspired by the work of Britain's first Fields Medallist, Klaus Roth.
Author : Roman Vershynin
Publisher : Cambridge University Press
ISBN 13 : 1108415199
Total Pages : 299 pages
Book Rating : 4.1/5 (84 download)
Download or read book High-Dimensional Probability written by Roman Vershynin and published by Cambridge University Press. This book was released on 2018-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Author : Sara A. Solla
Publisher : MIT Press
ISBN 13 : 9780262194501
Total Pages : 1124 pages
Book Rating : 4.1/5 (945 download)
Download or read book Advances in Neural Information Processing Systems 12 written by Sara A. Solla and published by MIT Press. This book was released on 2000 with total page 1124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.
Author : Graham L Giller
Publisher : World Scientific
ISBN 13 : 9811251827
Total Pages : 512 pages
Book Rating : 4.8/5 (112 download)
Download or read book Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data (Second Edition) written by Graham L Giller and published by World Scientific. This book was released on 2022-06-27 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller's career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went 'viral' before anybody knew what that meant, on being the person who forgot to hit 'enter' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller's professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as 'The Pleasure of Finding Things Out.'
Author : Lena Costaridou
Publisher : CRC Press
ISBN 13 : 0203500458
Total Pages : 505 pages
Book Rating : 4.2/5 (35 download)
Download or read book Medical Image Analysis Methods written by Lena Costaridou and published by CRC Press. This book was released on 2005-07-13 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly apply the latest medical imaging technologies. It is a worrisome reality that due to either the nature or volume of some of the images provided, early or obscured signs of disease can go undetected or be misdiagnosed. To combat these inaccuracies, diagno
Author : V. I. Bernik
Publisher : Cambridge University Press
ISBN 13 : 9780521432757
Total Pages : 198 pages
Book Rating : 4.4/5 (327 download)
Download or read book Metric Diophantine Approximation on Manifolds written by V. I. Bernik and published by Cambridge University Press. This book was released on 1999-10-14 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with Diophantine approximation on smooth manifolds embedded in Euclidean space, and its aim is to develop a coherent body of theory comparable with that which already exists for classical Diophantine approximation. In particular, this book deals with Khintchine-type theorems and with the Hausdorff dimension of the associated null sets. All researchers with an interest in Diophantine approximation will welcome this book.
Author : Terrence L. Fine
Publisher : Springer Science & Business Media
ISBN 13 : 0387226494
Total Pages : 353 pages
Book Rating : 4.3/5 (872 download)
Download or read book Feedforward Neural Network Methodology written by Terrence L. Fine and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.
Author : Yann Bugeaud
Publisher : Cambridge University Press
ISBN 13 : 1139455672
Total Pages : 292 pages
Book Rating : 4.1/5 (394 download)
Download or read book Approximation by Algebraic Numbers written by Yann Bugeaud and published by Cambridge University Press. This book was released on 2004-11-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible and broad account of the approximation and classification of real numbers suited for graduate courses on Diophantine approximation (some 40 exercises are supplied), or as an introduction for non-experts. Specialists will appreciate the collection of over 50 open problems and the comprehensive list of more than 600 references.
Author : Michael C. Mozer
Publisher : Psychology Press
ISBN 13 : 1317780531
Total Pages : 424 pages
Book Rating : 4.3/5 (177 download)
Download or read book Proceedings of the 1993 Connectionist Models Summer School written by Michael C. Mozer and published by Psychology Press. This book was released on 2014-03-05 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect the broad spectrum of areas contributing to neural networks, including artificial intelligence, cognitive science, computer science, engineering, mathematics, neuroscience, and physics. Providing an accurate picture of the state of the art in this fast-moving field, the proceedings of this intense two-week program of lectures, workshops, and informal discussions contains timely and high-quality work by the best and the brightest in the neural networks field.
Author : Sameer Singh
Publisher : Springer Science & Business Media
ISBN 13 : 3540287574
Total Pages : 713 pages
Book Rating : 4.5/5 (42 download)
Download or read book Pattern Recognition and Data Mining written by Sameer Singh and published by Springer Science & Business Media. This book was released on 2005-08-18 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 3686 and LNCS 3687 constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005. The papers submitted to ICAPR 2005 were thoroughly reviewed by up to three referees per paper and less than 40% of the submitted papers were accepted. The first volume includes 73 contributions related to Pattern Recognition and Data Mining (which included papers from the tracks of pattern recognition methods, knowledge and learning, and data mining); topics addressed are pattern recognition, data mining, signal processing and OCR/ document analysis. The second volume contains 87 contributions related to Pattern Recognition and Image Analysis (which included papers from the applications track) and deals with security and surveillance, biometrics, image processing and medical imaging. It also contains papers from the Workshop on Pattern Recognition for Crime Prevention.
Author : Raul Rojas
Publisher : Springer Science & Business Media
ISBN 13 : 3642610684
Total Pages : 511 pages
Book Rating : 4.6/5 (426 download)
Download or read book Neural Networks written by Raul Rojas and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
ISBN 13 : 3540762876
Total Pages : 519 pages
Book Rating : 4.5/5 (47 download)
Download or read book Computational Intelligence written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2008-05-29 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence. The book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up, various neural network architectures are presented and their learning algorithms are derived. Then, the family of evolutionary algorithms is discussed, including connections between these techniques and neural networks and fuzzy systems. Finally, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared.
