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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.

BooksJournals

  • Machine Learning Proceedings 1992

    Proceedings of the Ninth International Workshop (ML92)
    • 1st Edition
    • Peter Edwards + 1 more
    • English
    Machine Learning: Proceedings of the Ninth International Workshop (ML92) covers the papers and posters presented at ML92, the Ninth International Machine Learning Conference, held at Aberdeen, Scotland on July 1-3, 1992. The book focuses on the advancements of practices, methodologies, approaches, and techniques in machine learning. The selection first offers information on the principal axes method for constructive induction; learning by incomplete explanations of failures in recursive domains; and eliminating redundancy in explanation-based learning. Topics include means-ends analysis search in recursive domains, description space transformation, distance metric, generating similarity matrix, and learning principal axes. The text then examines trading off consistency and efficiency in version-space induction; improving path planning with learning; finding the conservation of momentum; and learning to predict in uncertain continuous tasks. The manuscript elaborates on a teaching method for reinforcement learning, compiling prior knowledge into an explicit bias, spatial analogy and subsumption, and multistrategy learning with introspective meta-explanations. The publication also ponders on selecting typical instances in instance-based learning and temporal difference learning of backgammon strategy. The selection is a valuable source of information for researchers interested in machine learning.

  • MIT Project Athena

    A Model for Distributed Campus Computing
    • 1st Edition
    • Bozzano G Luisa
    • English
    A hands-on account of the design, implementation, and performance of Project Athena.Based on thousands of pages of reports and the author's own experience, this important book lets you in on the design, implementation, and performance of Project Athena - now a production system of networked workstations that is replacing time-sharing (which MIT also pioneered) as the preferred model of computing at MIT. The book is organized in four parts, covering management, pedagogy, technology, and administration. Appendixes describe deployment of Project Athena systems at five other schools, provide guidelines for installation, and recommend end-user policies.

  • 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.

  • Parallel Algorithms for Numerical Linear Algebra

    • 1st Edition
    • Volume 1
    • H. van der Vorst + 1 more
    • English
    This is the first in a new series of books presenting research results and developments concerning the theory and applications of parallel computers, including vector, pipeline, array, fifth/future generation computers, and neural computers.All aspects of high-speed computing fall within the scope of the series, e.g. algorithm design, applications, software engineering, networking, taxonomy, models and architectural trends, performance, peripheral devices.Papers in Volume One cover the main streams of parallel linear algebra: systolic array algorithms, message-passing systems, algorithms for parallel shared-memory systems, and the design of fast algorithms and implementations for vector supercomputers.

  • Computer Hardware Description Languages and their Applications

    Proceedings of the IFIP WG 10.2 Tenth International Symposium on Computer Hardware Description Languages and their Applications, Marseille, France, 22-24 April 1991
    • 1st Edition
    • D. Borrione + 1 more
    • English
    The topic areas presented within this volume focus on design environments and the applications of hardware description and modelling – including simulation, verification by correctness proofs, synthesis and test. The strong relationship between the topics of CHDL'91 and the work around the use and re-standardization of the VHDL language is also explored. The quality of this proceedings, and its significance to the academic and professional worlds is assured by the excellent technical programme here compiled.

  • Uncertainty in Artificial Intelligence 4

    • 1st Edition
    • Volume 9
    • T.S. Levitt + 3 more
    • English
    Clearly illustrated in this volume is the current relationship between Uncertainty and AI.It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.

  • Parallel Processing from Applications to Systems

    • 1st Edition
    • Dan I. Moldovan
    • English
    This text provides one of the broadest presentations of parallelprocessing available, including the structure of parallelprocessors and parallel algorithms. The emphasis is on mappingalgorithms to highly parallel computers, with extensive coverage ofarray and multiprocessor architectures. Early chapters provideinsightful coverage on the analysis of parallel algorithms andprogram transformations, effectively integrating a variety ofmaterial previously scattered throughout the literature. Theory andpractice are well balanced across diverse topics in this concisepresentation. For exceptional clarity and comprehension, the authorpresents complex material in geometric graphs as well as algebraicnotation. Each chapter includes well-chosen examples, tablessummarizing related key concepts and definitions, and a broad rangeof worked exercises.

  • Uncertainty in Artificial Intelligence

    Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, University of Washington, Seattle, July 29-31, 1994
    • 1st Edition
    • MKP
    • English
    Uncertainty in Artificial Intelligence: Proceedings of the Tenth Conference (1994) covers the papers accepted for presentation at the Tenth Annual Conference on Uncertainty in Artificial Intelligence, held in Seattle, Washington on July 29-31, 1994. The book focuses on the processes, methodologies, and approaches involved in artificial intelligence, including approximations, computational methods, Bayesian networks, and probabilistic inference. The selection first offers information on ending-based strategies for part-of-speech tagging; an evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets; and probabilistic constraint satisfaction with non-Gaussian noise. The text then examines Laplace's method approximations for probabilistic inference in belief networks with continuous variables; computational methods, bounds, and applications of counterfactual probabilities; and approximation algorithms for the loop cutset problem. The book takes a look at learning in multi-level stochastic games with delayed information; properties of Bayesian belief network learning algorithms; and the relation between kappa calculus and probabilistic reasoning. The manuscript also elaborates on intercausal independence and heterogeneous factorization; evidential reasoning with conditional belief functions; and state-space abstraction for anytime evaluation of probabilistic networks. The selection is a valuable reference for researches interested in artificial intelligence.

  • Scalable Shared-Memory Multiprocessing

    • 1st Edition
    • Daniel E. Lenoski + 1 more
    • English
    Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.

  • Safety of Computer Control Systems 1990 (SAFECOMP'90)

    Proceedings of the IFAC/EWICS/SARS Symposium Gatwick, UK, 30 October - 2 November 1990
    • 1st Edition
    • B.K. Daniels
    • English
    The market for safe, secure and reliable computer systems is expanding continuously and these Proceedings provide an opportunity to review the growth during the last decade and identify skills and technologies required for continued development in the area. The papers cover the experiences gained from specifying, creating, operating, and licensing computers in safety, security and reliability related applications. There are reviews of guidelines and industrial applications, with a section covering methods and tools used in designing, documenting, analysing, testing and assessing systems dependent on the SAFECOMP factors.

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