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Elsevier

Morgan Kaufmann

  • Machine Learning

    A Theoretical Approach
    • 1st Edition
    • Balas K. Natarajan
    • English
    This is the first comprehensive introduction to computational learning theory. The author's uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study. The book presents tools for the analysis of probabilistic models of learning, tools that crisply classify what is and is not efficiently learnable. After a general introduction to Valiant's PAC paradigm and the important notion of the Vapnik-Chervonenkis dimension, the author explores specific topics such as finite automata and neural networks. The presentation is intended for a broad audience--the author's ability to motivate and pace discussions for beginners has been praised by reviewers. Each chapter contains numerous examples and exercises, as well as a useful summary of important results. An excellent introduction to the area, suitable either for a first course, or as a component in general machine learning and advanced AI courses. Also an important reference for AI researchers.

  • Readings in Machine Learning

    • 1st Edition
    • Jude Shavlik + 1 more
    • English
    The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business.Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

  • Innovative Approaches to Planning, Scheduling and Control

    Proceedings of the 1990 DARPA Workshop
    • 1st Edition
    • DARPA
    • English

  • Minimalist Mobile Robotics

    • 1st Edition
    • Jonathan H. Connell
    • English
    Rather than using traditional artificial intelligence techniques, which are ineffective when applied to the complexities of real-world robot navigaiton, Connell describes a methodology of reconstructing intelligent robots with distributed, multiagent control systems. After presenting this methodology, hte author describes a complex, robust, and successful application-a mobile robot "can collection machine" which operates in an unmodified offifce environment occupied by moving people.

  • Readings in Speech Recognition

    • 1st Edition
    • Alexander Waibel + 1 more
    • English
    After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years. The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.

  • Cache and Memory Hierarchy Design

    A Performance Directed Approach
    • 1st Edition
    • Steven A. Przybylski
    • English
    An authoritative book for hardware and software designers. Caches are by far the simplest and most effective mechanism for improving computer performance. This innovative book exposes the characteristics of performance-optimal single and multi-level cache hierarchies by approaching the cache design process through the novel perspective of minimizing execution times. It presents useful data on the relative performance of a wide spectrum of machines and offers empirical and analytical evaluations of the underlying phenomena. This book will help computer professionals appreciate the impact of caches and enable designers to maximize performance given particular implementation constraints.

  • Readings in Planning

    • 1st Edition
    • James Allen + 2 more
    • English
    Readings in Planning

  • A General Explanation-Based Learning Mechanism and its Application to Narrative Understanding

    • 1st Edition
    • Raymond J. Mooney
    • English

  • 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.

  • Database Programming Languages 2nd

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

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