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Filtering by: Academic Affiliation Computer Science Remove constraint Academic Affiliation: Computer Science Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • Understanding and improving error-correcting output coding

    Creator:
    Kong, Eun Bae
    Abstract:
    Error-correcting output coding (ECOC) is a method for converting a k-classsupervised learning problem into a large number L of two-class supervised learningproblems and then combining the results of these L evaluations. Previous researchhas shown that ECOC can dramatically improve the classi cation accuracy of supervisedlearning algorithms that learn to classify...
    Resource Type:
    Dissertation
    Full Text:
    of Doctor of Philosophy in Computer Science presented on February 20, 1995. Title: Understanding

  • Learning hierarchical decomposition rules for planning : an inductive logic programming approach

    Creator:
    Reddy, Chandrasekhara K.
    Abstract:
    Artificial Intelligence (AI) planning techniques have been central to automating a gamut of tasks from the mundane route planning and beer production to the ethereal image processing of space-ship images. Of all the planning techniques, hierarchical- decomposition planning has been the technique most employed in industrial-strength planners. Hierarchical-decomposition planning is...
    Resource Type:
    Dissertation
    Full Text:
    degree of Doctor of Philosophy in Computer Science presented on June 30, 1998. Title: Learning

  • A modification of Veto logic for a committee of threshold logic units and the use of 2-class classifiers for function estimation

    Creator:
    Osborne, Martin
    Abstract:
    The well-known local adjustment algorithm for training a threshold logic unit, TLU, is extended to a local adjustment algorithm for training a network of TLUs Computer simulations show that the extension is unsatisfactory. A new logic for a committee of TLUs, called modified veto logic, and a local adjustment algorithm...
    Resource Type:
    Dissertation
    Full Text:
    DOCTOR OF PHILOSOPHY (Name) (Degree) in COMPUTER SCIENCE presented on (Major Department) November 19

  • PEESHTAZ : the interactive computer programming system in Farsi

    Creator:
    Ayromloo, Shahram Shawn
    Resource Type:
    Dissertation
    Full Text:
    ,computer Science presented on September 14, 1977 . Title: THE INTERACTIVE COMPUTER PROGRAMMING PEESHTAZ

  • A fast division algorithm

    Creator:
    Dum, Stephen Anthony
    Abstract:
    A radix 2n non-restoring division algorithm is described. The algorithm is designed to be compatible with hardware multiprecision multiplication methods currectly used in high speed digital computers. This enables the use of the same hardware, with only changes in control logic, to be used to implement both multiplication and division....
    Resource Type:
    Dissertation
    Full Text:
    ) in Computer Science (Major Department) AN ABSTRACT OF THE THESIS OF for the degree DOCTOR OF

  • Specifications for a fuzzy system modeling language

    Creator:
    Fellinger, William Lowell
    Abstract:
    Specifications for a simulation language capable of modeling fuzzy systems are presented. Actions occurring in the running model are to be displayed on a graphics terminal in the .form of modified E-nets. The concept of partial execution of predicates is introduced in connection with the underlying continuously valued logic. Fuzzy...
    Resource Type:
    Dissertation
    Full Text:
    the, degree DOCTOR OF PHILOSOPHY (Name) (Degree) in Computer Science presented on June 14, 1974

  • The automated inference of tree system

    Creator:
    Levine, Barry Arthur
    Abstract:
    Tree systems are used in syntactic pattern recognition for describing two-dimensional patterns. We extend results on tree automata with the introduction of the subtree-invariant equivalence relation R. R relates two trees when the appearance of one implies the appearance of the other in similar trees. A new state minimizing algorithm...
    Resource Type:
    Dissertation
    Full Text:
    THE THESIS OF Barry Arthur Levine for the degree of Doctor of Philosophy in Computer Science

  • On sequential/parallel matrix array languages

    Creator:
    Wang, Patrick Shen-Pei
    Abstract:
    A new system called sequential/parallel matrix grammars for two-dimensional pattern processing is introduced and studied. Miscellaneous language operations such as union, catenation (row and column), Kleene's closure (row and column) and substitutions are investigated. The equivalence of sequential/parallel matrix languages and finite-turn repetitive checking automata is established. Hierarchies for both...
    Resource Type:
    Dissertation
    Full Text:
    for Privacy Professor of Department of Computer Science in charge of major Redacted for Privacy Head

  • Specification of parallel processing using production systems

    Creator:
    Gazaly, Mohammed
    Abstract:
    This research work investigates the use of production systems as a model of parallel processing. The purpose of the model is to provide a suitable medium within which parallel processing systems can be systematically specified, analyzed, and designed. Furthermore, the model provides a suitable means for deriving implementations of synchronization...
    Resource Type:
    Dissertation
    Full Text:
    Computer Science presented on June 8. 1981 Title: Specification of Parallel Processing using Produc- tion

  • Analysis of program control structure and data flow - with applications for program complexity and data flow machines

    Creator:
    Holt, John Douglas
    Abstract:
    The methodology of structured programming has enabled rapid progress in many areas of theoretical computer science. Structured programs are generally easier to debug, test, prove and analyse. The development of these achievements into commercially viable applications and products has been slower than expected. The primary reason is that most of...
    Resource Type:
    Dissertation
    Full Text:
    for the ddgree of Doctor of Philosophy in Department of Computer Science presented on Title