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Author: Lawrence K. Saul
Publisher: MIT Press
ISBN: 9780262195348
Category : Computers
Languages : en
Pages : 1710
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Book Description
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.
Author: Lawrence K. Saul
Publisher: MIT Press
ISBN: 9780262195348
Category : Computers
Languages : en
Pages : 1710
Get Book Here
Book Description
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.
Author: Suzanna Becker
Publisher: MIT Press
ISBN: 9780262025508
Category : Computers
Languages : en
Pages : 1738
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Book Description
Proceedings of the 2002 Neural Information Processing Systems Conference.
Author: Michael I. Jordan
Publisher: MIT Press
ISBN: 9780262100762
Category : Computers
Languages : en
Pages : 1114
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Book Description
The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.
Author: Sara A. Solla
Publisher: MIT Press
ISBN: 9780262194501
Category : Computers
Languages : en
Pages : 1124
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Book Description
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: Michael S. Kearns
Publisher: MIT Press
ISBN: 9780262112451
Category : Computers
Languages : en
Pages : 1122
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Book Description
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: Klaus Haefner
Publisher: Springer Science & Business Media
ISBN: 3642772110
Category : Computers
Languages : en
Pages : 359
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Book Description
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.
Author: A.C.C. Coolen
Publisher: OUP Oxford
ISBN: 9780191583001
Category : Neural networks (Computer science)
Languages : en
Pages : 596
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Book Description
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.
Author: Harvey M. Dietel
Publisher: Academic Press
ISBN: 148321401X
Category : Computers
Languages : en
Pages : 480
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Book Description
An Introduction to Information Processing provides an informal introduction to the computer field. This book introduces computer hardware, which is the actual computing equipment. Organized into three parts encompassing 12 chapters, this book begins with an overview of the evolution of personal computing and includes detailed case studies on two of the most essential personal computers for the 1980s, namely, the IBM Personal Computer and Apple's Macintosh. This text then traces the evolution of modern computing systems from the earliest mechanical calculating devices to microchips. Other chapters consider the components and operation of typical data communications systems. This book discusses as well the various types of communications networks and communications via space satellites. The final chapter deals with software or computer programs, the sets of instructions that programmers write to inform the computer how to solve particular problems. This book is a valuable resource for computer specialists, mathematicians, and computer programmers.
Author: Samuli Niiranen
Publisher: Springer Science & Business Media
ISBN: 3642196217
Category : Technology & Engineering
Languages : en
Pages : 234
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Book Description
Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.
Author: James J. Clark
Publisher: Springer Science & Business Media
ISBN: 1475720769
Category : Technology & Engineering
Languages : en
Pages : 258
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Book Description
The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photographs or video frames). There are often a multitude of ways in which a specific piece of informa tion about the world can be obtained from sensory data. A subarea of research into sensory systems has arisen which is concerned with methods for combining these various information sources. This field is known as data fusion, or sensor fusion. The literature on data fusion is extensive, indicating the intense interest in this topic, but is quite chaotic. There are no accepted approaches, save for a few special cases, and many of the best methods are ad hoc. This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo tivated by a strong belief in the importance of constraints in sensory information processing systems. In our view, data fusion is best un derstood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution pro cess.
