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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.

  • Computational Intelligence, III

    • 1st Edition
    • 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.

  • The KBMT Project

    A Case Study in Knowledge-Based Machine Translation
    • 1st Edition
    • 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.

  • 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.

  • Artificial Intelligence and Computer Vision

    • 1st Edition
    • 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.

  • High-Speed Analog-to-Digital Conversion

    • 1st Edition
    • Michael J. Demler
    • English
    This book covers the theory and applications of high-speed analog-to-digital conversion. An analog-to-digital converter takes real-world inputs (such as visual images, temperature readings, and rates of speed) and transforms them into digital form for processing by computer. This book discusses the design and uses of such circuits, with particular emphasis on improving the speed of the conversion process and the accuracy of its output--how well the output is a corresponding digital representation of the output*b1input signal. As computers become increasingly interfaced to the outside world, "ADC" techniques will become ever more important.

  • Computer Numerical Control of Machine Tools

    • 2nd Edition
    • G E THYER
    • English
    This is a comprehensive textbook catering for BTEC students at NIII and Higher National levels, advanced City and Guilds courses, and the early years of degree courses. It is also ideal for use in industrial retraining and post-experience programmes.

  • Computer-Aided Process Planning

    • 1st Edition
    • Volume 13
    • H.P. Wang + 1 more
    • English
    Computer-Integrated Manufacturing has gained recognition as a most effective tool in increasing manufacturing competitiveness. This book discusses the fundamental knowledge of Computer-Aided Process Planning, the key to integrated manufacturing.The work provides a rigorous basis for the understanding of process planning and the development of effective and efficient Computer-Aided Process Planning systems. It presents a current overview on the latest issues and directions in this field. Topics covered include Group Technology, process planning algorithms, artificial intelligence, and assembly process planning. Most importantly, in order to provide a solid foundation for discussion and development, basic theories and principles for process planning are comprehensively and thoroughly studied in this book.Written for those who wish to understand the theory of process planning, the book will also prove an indispensable reference source on the approaches, methodologies and tools which can be applied to day-to-day process planning operations.

  • Self-Modifying Systems in Biology and Cognitive Science

    A New Framework for Dynamics, Information and Complexity
    • 1st Edition
    • Volume 6
    • G. Kampis
    • English
    The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

  • Language in Action

    Categories, Lambdas and Dynamic Logic
    • 1st Edition
    • Volume 130
    • J. van Benthem
    • English
    This monograph began life as a series of papers documenting five years of research into the logical foundations of Categorial Grammar, a grammatical paradigm which has close analogies with Lambda Calculus and Type Theory. The technical theory presented here stems from the interface between Logic and Linguistics and, in particular, the theory of generalized quantification. A categorical framework with lambda calculus-oriented semantics is a convenient vehicle for generalizing semantic insights (obtained in various corners of natural language) into one coherent theory.The book aims to demonstrate to fellow logicians that the resulting applied lambda calculus has intrinsic logical interest. In the final analysis, the idea is not just to `break the syntactic code' of natural languages but to understand the cognitive functioning of the human mind.

  • Parallel and Distributed Processing

    • 1st Edition
    • K. Boyanov
    • English
    The aim of this volume is to present discussion of the main problems in the theory of parallel and distributed architectures. It covers a wide range of basic topics, most of the papers being theoretical, though some cover application areas with the possibility of direct implementation.

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