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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.

  • IJCAI Proceedings 1991

    • 1st Edition
    • September 18, 1991
    • IJCAI
    • English

  • Advances in Computers

    • 1st Edition
    • Volume 33
    • September 13, 1991
    • English

  • Differential Equations and Mathematical Physics: Proceedings of the International Conference held at the University of Alabama at Birmingham, March 15-21, 1990

    • 1st Edition
    • Volume 186
    • August 16, 1991
    • Bennewitz
    • English

  • Nonlinear Equations in the Applied Sciences

    • 1st Edition
    • Volume 185
    • August 16, 1991
    • W. F. Ames
    • English

  • Computer Simulation

    A Practical Perspective
    • 1st Edition
    • August 7, 1991
    • Roger W. McHaney
    • English
    This is a practical perspective on simulation aimed at working scientists and engineers. Amply illustrated, the book provides many examples with computer coding. New topics, such as animation, concept modeling, and logic transfer are covered in detail.

  • Advances in Computers

    • 1st Edition
    • Volume 32
    • July 15, 1991
    • English

  • The KBMT Project

    A Case Study in Knowledge-Based Machine Translation
    • 1st Edition
    • July 1, 1991
    • Kenneth Goodman + 1 more
    • English
    Machine translation of natural languages is one of the most complex and comprehensive applications of computational linguistics and artificial intelligence. This is especially true of knowledge-based machine translation (KBMT) systems, which require many knowledge resources and processing modules to carry out the necessary levels of analysis, representation and generation of meaning and form. The number of real-world problems, tasks, and solutions involved in developing any realistic-size knowledge-based machine translation system is enormous. It is thus difficult for researchers in the field to learn what a system "really does".This book fills that need with a detailed case study of a KBMT system implemented at the Center for Machine Translation at Carnegie Mellon University. The research consists in part of the creation of a system for translation between English and Japanese. The corpora used in the project were manuals for installing and maintaining IBM personal computers (sponsorship by IBM, through its Tokyo Research Laboratory) Individual chapters describe the interlingua texts used in knowledge-based machine translation, the grammar formalism embodied in the system, the grammars and lexicons and their roles in the translation process, the process of source language analysis, an augmentation module that interactively and automatically resolves ambiguities remaining after source language analysis, and the generator, which produces target language sentences. Detailed appendices illustrate the process from analysis through generation.This book is intended for developers, researchers and advanced students in natural language processing and computational linguistics, including all those who have an interest in machine translation and machine-aided translation.

  • Computational Intelligence, III

    • 1st Edition
    • July 1, 1991
    • G. Valle + 2 more
    • English
    In recent years AI has been experiencing a deep internal debate on the appropriateness of the symbolic-based paradigm and all of its consequences. While various symbolic representation schemes, as well as their integration, have been proposed, their limitations have continuously pushed researchers for improved versions or entirely new ones. New viewpoints such as the complex dynamic-based approach with neural nets can be regarded simply as new problem solving techniques with specific properties.Under this perspective, what seems to be important is the ability to combine heterogeneous representation and problem-solving techniques. Research on heterogeneous, intelligent systems goes hand in hand with research on specific problem solving methods and paradigms, therefore representing their conceptual and practical glueing element. The papers contained in this proceedings are just one instance of such awareness activity in the international scientific community.

  • Machine Learning

    A Theoretical Approach
    • 1st Edition
    • July 1, 1991
    • 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.

  • Artificial Intelligence and Computer Vision

    • 1st Edition
    • June 17, 1991
    • Y.A. Feldman + 1 more
    • English
    Current research in artificial intelligence and computer vision presented at the Israeli Symposium are combined in this volume to present an invaluable resource for students, industry and research organizations. Papers have been contributed from researchers worldwide, showing the growing interest of the international community in the work done in Israel. The papers selected are varied, reflecting the most contemporary research trends.

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