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Information Processing Machines
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Book Synopsis Decoding the Universe by : Charles Seife
Download or read book Decoding the Universe written by Charles Seife and published by Penguin. This book was released on 2007-01-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author of Zero explains the scientific revolution that is transforming the way we understand our world Previously the domain of philosophers and linguists, information theory has now moved beyond the province of code breakers to become the crucial science of our time. In Decoding the Universe, Charles Seife draws on his gift for making cutting-edge science accessible to explain how this new tool is deciphering everything from the purpose of our DNA to the parallel universes of our Byzantine cosmos. The result is an exhilarating adventure that deftly combines cryptology, physics, biology, and mathematics to cast light on the new understanding of the laws that govern life and the universe.
Book Synopsis Information Processing and Human-machine Interaction by : Jens Rasmussen
Download or read book Information Processing and Human-machine Interaction written by Jens Rasmussen and published by North Holland. This book was released on 1986 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer written by Martin Campbell-Kelly and published by Hachette UK. This book was released on 2013-07-09 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer: A History of the Information Machine traces the history of the computer and shows how business and government were the first to explore its unlimited, information-processing potential. Old-fashioned entrepreneurship combined with scientific know-how inspired now famous computer engineers to create the technology that became IBM. Wartime needs drove the giant ENIAC, the first fully electronic computer. Later, the PC enabled modes of computing that liberated people from room-sized, mainframe computers. This third edition provides updated analysis on software and computer networking, including new material on the programming profession, social networking, and mobile computing. It expands its focus on the IT industry with fresh discussion on the rise of Google and Facebook as well as how powerful applications are changing the way we work, consume, learn, and socialize. Computer is an insightful look at the pace of technological advancement and the seamless way computers are integrated into the modern world. Through comprehensive history and accessible writing, Computer is perfect for courses on computer history, technology history, and information and society, as well as a range of courses in the fields of computer science, communications, sociology, and management.
Book Synopsis Advances in Neural Information Processing Systems 17 by : Lawrence K. Saul
Download or read book Advances in Neural Information Processing Systems 17 written by Lawrence K. Saul and published by MIT Press. This book was released on 2005 with total page 1710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.
Book Synopsis Machine Learning and Information Processing by : Debabala Swain
Download or read book Machine Learning and Information Processing written by Debabala Swain and published by Springer Nature. This book was released on 2021-04-02 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
Book Synopsis Machine Learning and Information Processing by : Debabala Swain
Download or read book Machine Learning and Information Processing written by Debabala Swain and published by Springer Nature. This book was released on 2020-03-23 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
Book Synopsis Advances in Neural Information Processing Systems 13 by : Todd K. Leen
Download or read book Advances in Neural Information Processing Systems 13 written by Todd K. Leen and published by MIT Press. This book was released on 2001 with total page 1136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the 2000 Neural Information Processing Systems (NIPS) Conference.The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. 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 at the 2000 conference.
Book Synopsis Pattern Recognition and Information Processing by : Sergey V. Ablameyko
Download or read book Pattern Recognition and Information Processing written by Sergey V. Ablameyko and published by Springer Nature. This book was released on 2019-11-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.
Author :United States. Congress. House. Committee on Post Office and Civil Service Publisher : ISBN 13 : Total Pages :512 pages Book Rating :4.3/5 ( download)
Book Synopsis Use of Electronic Data Processing Equipment by : United States. Congress. House. Committee on Post Office and Civil Service
Download or read book Use of Electronic Data Processing Equipment written by United States. Congress. House. Committee on Post Office and Civil Service and published by . This book was released on 1963 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Neural Information Processing Systems 15 by : Suzanna Becker
Download or read book Advances in Neural Information Processing Systems 15 written by Suzanna Becker and published by MIT Press. This book was released on 2003 with total page 1738 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 2002 Neural Information Processing Systems Conference.
Book Synopsis The Energetics of Computing in Life and Machines by : Chris Kempes
Download or read book The Energetics of Computing in Life and Machines written by Chris Kempes and published by Seminar. This book was released on 2018-09 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do computers use so much energy? What are the fundamental physical laws governing the relationship between the precise computation run by a system, whether artificial or natural, and how much energy that computation requires? This volume integrates concepts from diverse fields, cultivating a modern, nonequilibrium thermodynamics of computation.
Book Synopsis Semantic Information Processing by : Marvin Minsky
Download or read book Semantic Information Processing written by Marvin Minsky and published by . This book was released on 1982 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Large-scale Kernel Machines by : Léon Bottou
Download or read book Large-scale Kernel Machines written by Léon Bottou and published by MIT Press. This book was released on 2007 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solutions for learning from large scale datasets, including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets. Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset of the data. This volume offers researchers and engineers practical solutions for learning from large scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large datasets. At the same time it offers researchers information that can address the relative lack of theoretical grounding for many useful algorithms. After a detailed description of state-of-the-art support vector machine technology, an introduction of the essential concepts discussed in the volume, and a comparison of primal and dual optimization techniques, the book progresses from well-understood techniques to more novel and controversial approaches. Many contributors have made their code and data available online for further experimentation. Topics covered include fast implementations of known algorithms, approximations that are amenable to theoretical guarantees, and algorithms that perform well in practice but are difficult to analyze theoretically. Contributors Léon Bottou, Yoshua Bengio, Stéphane Canu, Eric Cosatto, Olivier Chapelle, Ronan Collobert, Dennis DeCoste, Ramani Duraiswami, Igor Durdanovic, Hans-Peter Graf, Arthur Gretton, Patrick Haffner, Stefanie Jegelka, Stephan Kanthak, S. Sathiya Keerthi, Yann LeCun, Chih-Jen Lin, Gaëlle Loosli, Joaquin Quiñonero-Candela, Carl Edward Rasmussen, Gunnar Rätsch, Vikas Chandrakant Raykar, Konrad Rieck, Vikas Sindhwani, Fabian Sinz, Sören Sonnenburg, Jason Weston, Christopher K. I. Williams, Elad Yom-Tov
Book Synopsis The Metaphorical Brain by : Michael A. Arbib
Download or read book The Metaphorical Brain written by Michael A. Arbib and published by John Wiley & Sons. This book was released on 1972 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Evolution of Information Processing Systems by : Klaus Haefner
Download or read book Evolution of Information Processing Systems written by Klaus Haefner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interdisciplinary team of scientists is presenting a new paradigm: all existing structures on earth are the consequence of information processing. Since these structures have been evolved over the last five billion years, information processing and its systems have an evolution.This is under consideration in the book. Starting with a basic paper which summarizes the essential hypotheses about the evolution of informaion processing systems, sixteen international scientists have tried to verify or falsify these hypothesises. This has been done at the physical, the chemical, the genetic, the neural, the social, the societal and the socio-technical level. Thus, the reader gets an insight into the recent status of research on the evolution of information processing systems. The papers are the result of an interdisciplinary project in which scientists of the classical disciplines have been invited to collaborate. Their inputs have been intensively discussed in a workshop. The book is the output of the workshop. The first goal of the bookis to give the reader an insight into basic principles about the evolution of information processing systems. This, however, leads directly to a very old and essential question: who is controlling the world, "matter" or an "immaterial intelligence"? Several authors of the papers are arguing that there is a basic concept of information processing in nature. This is the crucial process, which, however, needs a material basis. The reader has a chance to understand this paradigm as an approach which is valid for all levels of inorganic, organic and societal structures. This provocative concept is open to debate.
Book Synopsis Theory of Neural Information Processing Systems by : A.C.C. Coolen
Download or read book Theory of Neural Information Processing Systems written by A.C.C. Coolen and published by OUP Oxford. This book was released on 2005-07-21 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative discipline, including mathematics, computer science, physics, engineering or biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes on historical background and further reading guide the student into the literature. All mathematical details are included and appendices provide further background material, including probability theory, linear algebra and stochastic processes, making this textbook accessible to a wide audience.
Book Synopsis Intelligent Systems for Information Processing: From Representation to Applications by : B. Bouchon-Meunier
Download or read book Intelligent Systems for Information Processing: From Representation to Applications written by B. Bouchon-Meunier and published by Elsevier. This book was released on 2003-11-07 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:• Tools for construction of intelligent systems • Contributions by world leading experts • Fundamental issues and applications • New technologies for web searching • Methods for modeling uncertain information • Future directions in web technologies • Transversal to methods and domains
