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Elsevier

Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

  • Stimulus-Response Compatibility

    An Integrated Perspective
    • 1st Edition
    • Volume 65
    • R.W. Proctor + 1 more
    • English
    Stimulus-response compatibility refers to the finding that certain mappings of stimuli to responses produce faster and more accurate responding than do others. The present volume surveys compatibility research which falls into four broad categories: (a) mental representation and coding (b) neurophysiological mechanisms (c) motor performance (d) human factors applications. The major findings and models within each of the categories are summarized, and an integrated perspective is provided. The research indicates that compatibility effects reflect basic cognitive processes that bear on a range of issues in cognitive science and that have applied implications for human factors specialists.

  • Proceedings 1989 VLDB Conference

    15th International Conference on Very Large Data Bases
    • 1st Edition
    • VLDB
    • English
    Proceedings of the 15th International Conference (see title), August 1989, Amsterdam, The Netherlands. Contains forty-five papers from worldwide contributors which explore fundamental issues and current developments parallelism, interfaces, statistics, and programming languages.

  • Nonlinear Boundary Value Problems in Science and Engineering

    • 1st Edition
    • Volume 183
    • C. Rogers + 1 more
    • English
    Overall, our object has been to provide an applications-oriente... text that is reasonably self-contained. It has been used as the basis for a graduate-level course both at the University of Waterloo and at the Centro Studie Applicazioni in Tecnologie Avante, Bari, Italy. The text is aimed, in the main, at applied mathematicians with a strong interest in physical applications or at engineers working in theoretical mechanics.

  • Advances in Computers

    • 1st Edition
    • Volume 29
    • English

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 76
    • English

  • Database Programming Languages 2nd

    • 1st Edition
    • Richard Hull + 2 more
    • English

  • Connectionism in Perspective

    • 1st Edition
    • R. Pfeifer + 3 more
    • English
    An evaluation of the merits, potential, and limits of Connectionism, this book also illustrates current research programs and recent trends.Connectionism (also known as Neural Networks) is an exciting new field which has brought together researchers from different areas such as artificial intelligence, computer science, cognitive science, neuroscience, physics, and complex dynamics. These researchers are applying the connectionist paradigm in an interdisciplinary way to the analysis and design of intelligent systems.In this book, researchers from the above-mentioned fields not only report on their most recent research results, but also describe Connectionism from the perspective of their own field, looking at issues such as: - the effects and the utility of Connectionism for their field - the potential and limitations of Connectionism - can it be combined with other approaches?

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 75
    • English

  • Advances in Computers

    • 1st Edition
    • Volume 28
    • English

  • Computability, Complexity, Logic

    • 1st Edition
    • Volume 128
    • E. Börger
    • English
    The theme of this book is formed by a pair of concepts: the concept of formal language as carrier of the precise expression of meaning, facts and problems, and the concept of algorithm or calculus, i.e. a formally operating procedure for the solution of precisely described questions and problems.The book is a unified introduction to the modern theory of these concepts, to the way in which they developed first in mathematical logic and computability theory and later in automata theory, and to the theory of formal languages and complexity theory. Apart from considering the fundamental themes and classical aspects of these areas, the subject matter has been selected to give priority throughout to the new aspects of traditional questions, results and methods which have developed from the needs or knowledge of computer science and particularly of complexity theory.It is both a textbook for introductory courses in the above-mentioned disciplines as well as a monograph in which further results of new research are systematically presented and where an attempt is made to make explicit the connections and analogies between a variety of concepts and constructions.

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