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Filtering by: DOI 10.1186/gb-2013-14-8-r85 Remove constraint DOI: 10.1186/gb-2013-14-8-r85 Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Computational methods for protein-protein interface prediction

    Creator:
    Tribelhorn, Benjamin
    Abstract:
    Protein-protein interactions underlie all biological processes and are a field of study that has wide implications throughout many other fields including medicine, genetics, biology, and ecology. Proteins are the building blocks and primary actors of life. They work together to accomplish virtually every task within a cell, including, metabolism, signal...
    Resource Type:
    Dissertation
    Full Text:
    degree of Doctor of Philosophy in Computer Science presented on August 14, 2013. Title: Computational

  • Adaptation-based programming

    Creator:
    Bauer, Tim
    Abstract:
    Partial programming is a field of study where users specify an outline or skeleton of a program, but leave various parts undefined. The undefined parts are then completed by an external mechanism to form a complete program. Adaptation-Based Programming (ABP) is a method of partial programming that utilizes techniques from...
    Resource Type:
    Dissertation
    Full Text:
    31, 2013. Title: Adaptation-Based Programming Abstract approved: Martin Erwig Partial

  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
    Resource Type:
    Dissertation
    Full Text:
    the degree of Doctor of Philosophy in Computer Science presented on October 14, 2011. Title

  • PEESHTAZ : the interactive computer programming system in Farsi

    Creator:
    Ayromloo, Shahram Shawn
    Resource Type:
    Dissertation
    Full Text:
    f0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 f 15 0 0 0 1 1 0 1 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 0 1 1 0

  • Concept coverage and its application to two learning tasks

    Creator:
    Almuallim, Hussein Saleh
    Abstract:
    The coverage of a learning algorithm is the number of concepts that can be learned by that algorithm from samples of a given size for given accuracy and confidence parameters. This thesis begins by asking whether good learning algorithms can be designed by maximizing their coverage. There are three questions...
    Resource Type:
    Dissertation
    Full Text:
    Computer Science presented on April 14, 1992. Title: Concept Coverage and Its Application to Two Learning

  • 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

  • DataLab, a graphical system for specifying and synthesizing abstract data types

    Creator:
    Al-Mulhem, Muhammed Saleh
    Abstract:
    Formal methods using text to specify abstract data types (ADTs) are powerful, but they require great effort and a high level of expertise. Visual programming languages present an alternative way of programming but are limited to building small programs. This research presents an approach for specifying ADTs using a combination...
    Resource Type:
    Dissertation
    Full Text:
    Doctor of Philosophy in Computer Science presented on December 14. 1989 Title: DataLab: A Graphical

  • Innovating Feature Selection in Data Science

    Creator:
    Rubocki, Nikita
    Abstract:
    Data science is a rapidly growing industry permeating throughout every aspect of society. Everything collects data these days, and people use this data to find meaningful patterns leading to benefits ranging from more intuitive marketing to better cancer detection. However, increased data collection also leads to increased complexity, and data...
    Resource Type:
    Honors College Thesis
    Full Text:
    ) Presented April 14, 2022 Commencement June 2022 AN ABSTRACT OF THE THESIS OF

  • Dynamic Analysis and Comparison of High-Rise Building Frames Made of Mass-Timber and Traditional Materials Using Finite Element Analysis

    Creator:
    Kalathas, Paris
    Abstract:
    The increased demand for building materials that are friendly to the environment, along with the latest advances in wood science and technology, which exploit the fiber orientation of wood, resulted in composite wood materials known as mass-timber products. To understand the effects the wood fiber orientation has on the dynamic...
    Resource Type:
    Masters Thesis
    Full Text:
    Paris Kalathas for the degree of Master of Science in Computer Science presented on June 14, 2019

  • A data-driven model of pedestrian movement

    Creator:
    Casburn, Ledah
    Abstract:
    This thesis presents a model for simulating individual pedestrian motion based on empirical data. The model keeps track of a pedestrian’s position, orientation, and body configuration and leverages motion capture data to generate plausible motion. Our model can automatically incorporate a pedestrian’s physical limitations when making movement decisions, since it...
    Resource Type:
    Masters Thesis
    Full Text:
    of Science in Computer Science presented on June 14, 2006. Title: A Data-Driven Model of Pedestrian