Skip to main content
Elsevier

Morgan Kaufmann

  • Transaction Processing

    Concepts and Techniques
    • 1st Edition
    • Jim Gray + 1 more
    • English
    The key to client/server computing.Transactio... processing techniques are deeply ingrained in the fields ofdatabases and operating systems and are used to monitor, control and updateinformation in modern computer systems. This book will show you how large,distributed, heterogeneous computer systems can be made to work reliably.Using transactions as a unifying conceptual framework, the authors show howto build high-performance distributed systems and high-availabilityapp... with finite budgets and risk.The authors provide detailed explanations of why various problems occur aswell as practical, usable techniques for their solution. Throughout the book,examples and techniques are drawn from the most successful commercial andresearch systems. Extensive use of compilable C code fragments demonstratesthe many transaction processing algorithms presented in the book. The bookwill be valuable to anyone interested in implementing distributed systemsor client/server architectures.

  • Groupware 92

    • 1st Edition
    • David C. Coleman
    • English
    This conference, held August 1992, was designed to meet the informational needs of the growing market for work group solutions and technologies. Papers from Dyson Research, Lotus, Intel, DEC, Microsoft, SRI, MIT, Borland, and the Institute for the Future discuss workflow, electronic mail, document.

  • Pattern Recognition and Machine Learning

    • 1st Edition
    • Y. Anzai
    • English
    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

  • Building an Object-Oriented Database System

    • 1st Edition
    • Francois Bancilhon + 2 more
    • English
    Modern database and software system technology must respond to a wide variety of needs. Advanced applications such as office automation, CAD, or software engineering have new requirements in design environments, transaction mechanisms, and data types. This comprehensive volume by designers, implementors and users covers all aspects of building an object-oriented software system from data model through system implementation, interfaces, and applications. Utilizing techniques from databases, object-oriented languages, programming environments, and user interfaces, O2 is a landmark object-oriented database system representing a new generation of database technology. This guide will help researchers, database designers, and users to assess the nature and potential of object-oriented technology for themselves.

  • Database Transaction Models for Advanced Applications

    • 1st Edition
    • Ahmed K. Elmagarmid
    • English
    This collection offers the reader a broad survey of the role of transaction processing in advanced computer applications. It contains an introduction to traditional transaction technology, and comprehensive descriptions of commercial systems and research projects.This volume will help anyone interested in keeping up with database applications and the potential for transaction processing systems to address the needs of OLTP, CAD, CASE, computer aided publishing, heterogeneous databases, active databases, communications, systems and other areas.For researchers, managers, software developers, professionals in the data processing fields, or anyone interested in a coherent overview of this new and fast growing area of computer science.

  • Meta-Level Inference Systems

    • 1st Edition
    • Frank van Harmelen
    • English

  • Paradigms of Artificial Intelligence Programming

    Case Studies in Common Lisp
    • 1st Edition
    • Peter Norvig
    • English
    Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

  • IJCAI Proceedings 1991

    • 1st Edition
    • IJCAI
    • English

  • 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.

  • 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.

Browse by Publisher