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Filtering by: Creator Nelson, Michael, II Remove constraint Creator: Nelson, Michael, II Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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  • Porting and optimizing a routing library for Dataparallel C on the nCUBE 2 system

    Creator:
    Sivaramapuram, Krishna
    Abstract:
    Dataparallel C has been designed for various kinds of architectures and was devel­oped jointly at University of New Hampshire and Oregon State University. This project dealt with porting the libraries to the nCUBE 2 system and helping a user compile his programs on nCUBE 2 directly from a Sun workstation...
    Resource Type:
    Capstone Project
    Full Text:
    Professor : Dr. Michael J. Quinn Minor Professor : Dr. Lawrence A. Crowl Committee Member : Dr. Tadepalli

  • Porting and optimizing a routing library for C* on the iPSC/860

    Creator:
    Uberoy, Chetan
    Abstract:
    High level data-parallel languages are easy to use and shield the programmer from machine specific details. A simple and efficient way of providing an interface to such languages is to develop a machine-independent compiler and a routing library, which isolates the low-level machine dependent communication functions, The compiler translates the...
    Resource Type:
    Capstone Project
    Full Text:
    requirements for the degree of Master of Science Major Professor: Dr. Michael J. Quinn Minor Professor

  • Machine learning in engineering : techniques to speed up numerical optimization

    Creator:
    Cerbone, G. (Giuseppe)
    Abstract:
    Many important application problems in engineering can be formalized as nonlinear optimization tasks. However, numerical methods for solving such problems are brittle and do not scale well. For example, these methods depend critically on choosing a good starting point from which to perform the optimization search. In high-dimensional spaces, numerical...
    Resource Type:
    Dissertation
    Full Text:
    Tadepalli provided useful feedback on EBL related issues and proof-read most of my papers. Michael Scanlan

  • Adversarial planning by strategy switching in a real-time strategy game

    Creator:
    King, Brian D.
    Abstract:
    We consider the problem of strategic adversarial planning in a Real-Time Strategy (RTS) game. Strategic adversarial planning is the generation of a network of high-level tasks to satisfy goals while anticipating an adversary's actions. In this thesis we describe an abstract state and action space used for planning in an...
    Resource Type:
    Masters Thesis
    Full Text:
    would like to thank Dr. Michael Olsen for being on my defense committee. I would like to thank Dr

  • Update programming -- a safe approach to software maintenance

    Creator:
    Ren, Deling
    Abstract:
    Software maintenance accounts for a large portion of the software development cost, particularly the process of updating programs either to adapt for requirement change or to enhance design or efficiency. Currently, program updates are generally performed manually by programmers using text editors. This is an unreliable method because syntax and...
    Resource Type:
    Dissertation

  • Optimal inference with local expressions

    Creator:
    Borujerdi, Mohammad
    Abstract:
    Probabilistic inference using Bayesian networks is now a well-established approach for reasoning under uncertainty. Among many e ciency-driven tech- niques which have been developed, the Optimal Factoring Problem (OFP) is distinguished for presenting a combinatorial optimization point of view on the problem. The contribution of this thesis is to extend...
    Resource Type:
    Dissertation
    Full Text:
    Approved by Committee: Major Professor (Bruce D'Ambrosio) Committee Member (Michael Quinn) Committee

  • Web-PST : web-based pesticide screening tool

    Creator:
    Yao, Hua
    Abstract:
    Web-based Pesticide Screening Tool (Web-PST) is a web-based software application for evaluating the potential risk of pesticides on the surrounding environment. It uses the formulas and standards specified by the Soil/Pesticide Interaction Screening Procedure Version II (SPISP II). Web-PST closely models the stand-alone Windows application Windows Pesticide Screening Tool (WIN-PST)....
    Resource Type:
    Capstone Project
    Full Text:
    Soil/Pesticide Interaction Screening Procedure Version II (SPISP II). Web-PST closely models the

  • Web-PST : Web-based Pesticide Screening Tool

    Creator:
    Manda, Ashwin Prasad
    Abstract:
    We have developed a web-based software tool for evaluating the potential risk of pesticides on the surrounding environment. The software tool is called Web-based Pesticide Screening Tool (Web-PST). It uses the formulas and standards specified by the Soil/Pesticide Interaction Screening Procedure Version II (SPISP II). Web-PST closely models the stand-alone...
    Resource Type:
    Capstone Project
    Full Text:
    and standards specified by the Soil/Pesticide Interaction Screening Procedure Version II (SPISP II

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation
    Full Text:
    textual modality and integrating them into a KB ii) Improving expressiveness of current link prediction

  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    information. II) The detection of pseudoknots from sequence data alone with a machine learning model