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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.

  • Machine Learning Proceedings 1994

    Proceedings of the Eighth International Conference
    • 1st Edition
    • William W. Cohen
    • English
    Machine Learning: Proceedings of the Eleventh International Conference covers the papers presented at the Eleventh International Conference on Machine Learning (ML94), held at New Brunswick, New Jersey on July 10-13, 1994. The book focuses on the processes, methodologies, and approaches involved in machine learning, including inductive logic programming, neural networks, and decision trees. The selection first offers information on learning recursive relations with randomly selected small training sets; improving accuracy of incorrect domain theories; and using sampling and queries to extract rules from trained neural networks. The text then takes a look at boosting and other machine learning algorithms; an incremental learning approach for completable planning; and learning disjunctive concepts by means of genetic algorithms. The publication ponders on rule induction for semantic query optimization; irrelevant features and the subset selection problem; and an efficient subsumption algorithm for inductive logic programming. The book also examines Bayesian inductive logic programming; a statistical approach to decision tree modeling; and an improved algorithm for incremental induction of decision trees. The selection is a dependable source of data for researchers interested in machine learning.

  • Uncertainty in Artificial Intelligence

    Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, UCLA, at Los Angeles, July 13-15, 1991
    • 1st Edition
    • Bruce D'Ambrosio + 2 more
    • English
    Uncertainty in Artificial Intelligence: Proceedings of the Seventh Conference (1991) covers the papers presented at the Seventh Conference on Uncertainty in Artificial Intelligence, held on July 13-15, 1991 at the University of California at Los Angeles (UCLA). The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence. The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring. The text then examines some properties of plausible reasoning; theory refinement on Bayesian networks; combination of upper and lower probabilities; and a probabilistic analysis of marker-passing techniques for plan-recognition. The publication ponders on symbolic probabilistic inference (SPI) with continuous variables, SPI with evidence potential, and local expression languages for probabilistic dependence. Topics include local expression languages for probabilistic knowledge, evidence potential algorithm, symbolic inference with evidence potential, and SPI with continuous variables algorithm. The manuscript also takes a look at the compatibility of quantitative and qualitative representations of belief and a method for integrating utility analysis into an expert system for design evaluation under uncertainty. The selection is a valuable source of data for researchers interested in artificial intelligence.

  • Languages, Compilers and Run-time Environments for Distributed Memory Machines

    • 1st Edition
    • Volume 3
    • J. Saltz + 1 more
    • English
    Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

  • Practical Knowledge Engineering

    • 1st Edition
    • Richard Kelly
    • English
    This book provides knowledge engineers with practical methods for initiating, designing, building, managing, and demonstrating successful commercial expert systems. It is a record of what actually works (and does not work) in the construction of expert systems, drawn from the author's decade of experience in building expert systems in all major areas of application for American, European, and Japanese organizations.The book features:* knowledge engineering programming techniques* useful skills for demonstrating expert systems * practical costing and metrics* guidelines for using knowledge representation techniques* solutions to common difficulties in design and implementation

  • Supercomputers

    • 1st Edition
    • Architecture Technology Architecture Technology Corpor
    • English
    Please note this is a Short Discount publication.Thorough... revised and updated, this year's report contains invaluable information investigating the impact of supercomputing technology on data processing in the near term and its influence for the next five years.The information and data in this report are critical in supplying: information on the size of each of the technical computing segments, what percentage of each is comprised of vector and parallel systems now, and what that percentage will be by 1995.For each technical computing segments, the report gives dollar volumes, units shipped, user industries, applications, operating system requirements, vector shares of market and installations. Find out which computing segments and vectors show the greatest promise for growth and profitability.The technical aspects influencing the development of supercomputing architectures and the features driving their user acceptance are analyzed. The report also provides immediate market opportunities by discussing types of applications that will benefit most from supercomputing technology.

  • Using C-Kermit

    Communication Software for OS/2, Atari ST, UNIX, OS-9, VMS, AOS/VS, AMIGA
    • 1st Edition
    • Frank da Cruz + 1 more
    • English
    An introduction and tutorial as well as a comprehensive reference Using C-Kermit describes the new release, 5A, of Columbia University's popular C-Kermit communication software - the most portable of all communication software packages. Available at low cost on a variety of magnetic media from Columbia University,C-Kermit can be used on computers of all sizes - ranging from desktop workstations to minicomputers to mainframes and supercomputers. The numerous examples, illustrations, and tables in Using C-Kermit make the powerful and versatile C-Kermit functionsaccessible for new and experienced users alike.

  • Real Time Programming 1985

    Proceedings of the 13th IFAC/IFIP Workshop, Purdue University, West Lafayette, Indiana, USA, 7-8 October 1985
    • 1st Edition
    • G.M. Bull + 1 more
    • English
    Examines the entire field of real-time programming, with emphasis on the most recent developments in industrial control and the design of process control systems. The topics covered include programming of statistical quality control applications, graphical languages for real-time programming, programming of personal computers and work stations for real-time applications. Contains 17 papers.

  • Computer Risk Manager

    A Manual for EDP Contingency Planning
    • 1st Edition
    • K.R. Pursall
    • English
    Please note this is a Short Discount publication.A comprehensive guide to EDP contingency planning and disaster recovery.Thoroughly revised and updated from the last edition [published 1989], this best selling management guide has been re–written to reflect the latest thinking on contingency planning.The new third edition follows the same step–by–step practical guidance as the last edition – presenting an immediate source of reference for anyone wanting to develop their own contingency plan BEFORE a systems disaster. As well as a useful check for those assessing the security of their present systems.Who should read it:★ IT Managers★ Operations Managers★ Computer Security Managers★ MIS Managers★ Technical Support Managers★ Computer Manufacturers and Suppliers★ Computer Auditors★ General Managers

  • A Discipline of Software Engineering

    • 1st Edition
    • B. Walraet
    • English
    This comprehensive approach to the creation of software systems charts a road through system modelling techniques, allowing software engineers to create software meeting two very basic requirements:• that the software system represent a narrow emulation of the organization system that served as its model; • and that the software system display life attributes identical to those of the organization system that it automatizes.The result is a quantum leap increase in software application quality. Such benefit is achieved by the introduction of a fundamental paradigm: the office-floor metaphor which incorporates such well-balanced basic ideas as the functional normalization of tasks and information (in sharp contrast to the classic data normalization) and the principle of tenant-ownership.

  • Parallel Processing for Artificial Intelligence 2

    • 1st Edition
    • Volume 15
    • V. Kumar + 2 more
    • English
    With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (AI) is gaining greater importance in the computer science environment. Many applications have been implemented and delivered but the field is still considered to be in its infancy.This book assembles diverse aspects of research in the area, providing an overview of the current state of technology. It also aims to promote further growth across the discipline. Contributions have been grouped according to their subject: architectures (3 papers), languages (4 papers), general algorithms (6 papers), and applications (5 papers). The internationally sourced papers range from purely theoretical work, simulation studies, algorithm and architecture proposals, to implemented systems and their experimental evaluation.Since the book is a second volume in the parallel processing for AI series, it provides a continued documentation of the research and advances made in the field. The editors hope that it will inspire readers to investigate the possiblities for enhancing AI systems by parallel processing and to make new discoveries of their own!

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