Search Constraints

Start Over
Filtering by: Creator Taylor, Dennis William Remove constraint Creator: Taylor, Dennis William Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • Structured gradient boosting

    Creator:
    Parker, Charles (Charles Lincoln)
    Abstract:
    The goal of many machine learning problems can be formalized as the creation of a function that can properly classify an input vector, given a set of examples of that function. While this formalism has produced a number of success stories, there are notable situations in which it fails. One...
    Resource Type:
    Dissertation

  • Fluid flow on interacting, deformable surfaces

    Creator:
    Neill, Patrick
    Abstract:
    Fluid simulation is an interesting research problem with a wide range of applications including mechanical engineering, special effects in movies and games, and scientific simulation. Due to the complex nature of typical fluid flow equations, there are circumstances where a full volumetric fluid simulation may not be necessary to generate...
    Resource Type:
    Masters Thesis
    Full Text:
    equation, using a Taylor Series expansion and simplifying, is accurate to the second order. While the

  • Visualization and design systems for road infrastructure

    Creator:
    Esch, Gregory
    Abstract:
    Transportation infrastructure provides a vital service for the functionality of a city. The efficient design of road networks poses an interesting topic in computer science for digital content developers. For civil engineers, the visualization of analysis results on infrastructure both efficiently and intuitively is crucial. The following contributions are made...
    Resource Type:
    Masters Thesis

  • Learning cost-sensitive diagnostic policies from data

    Creator:
    Zubek, Valentina Bayer
    Abstract:
    In its simplest form, the process of diagnosis is a decision-making process in which the diagnostician performs a sequence of tests culminating in a diagnostic decision. For example, a physician might perform a series of simple measurements (body tem- perature, weight, etc.) and laboratory measurements (white blood count, CT scan,...
    Resource Type:
    Dissertation
    Full Text:
    with whom we shared many Thanksgivings and picnics. Thank you to Dr. William Hetherington, Dr. Tomasz

  • Active learning with committees : an approach to efficient learning in text categorization using linear threshold algorithms

    Creator:
    Liere, Ray
    Abstract:
    We developed and investigated machine learning methods that require minimal preprocessing of the input data, use few training examples, run fast, and still obtain high levels of accuracy. Most approaches to designing machine learning programs are based on the supervised learning paradigm – training examples are chosen randomly and given...
    Resource Type:
    Dissertation
    Full Text:
    committee – Prof. Prasad Tadepalli, Prof. Curtis Cook, Prof. Toshimi Minoura, Dr. William Hersh, Prof

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation

  • LacEDAemon : a programming environment for the multiparadigm language leda

    Creator:
    Pandey, Rajeev K.
    Abstract:
    Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
    Resource Type:
    Dissertation
    Full Text:
    Chakrabarti, Dennis Harms, Bob Miller, Jacek Walicki and Ted Wilson. At Intel: Clark Nelson and Peter

  • Pattern systems and methodologies for multiparadigm analysis and design

    Creator:
    Knutson, Charles D.
    Abstract:
    In this research, we have captured, in pattern form, key elements of programming and design in four programming paradigms (imperative, object-oriented, functional and logical) as well as multiparadigm programming. These pattern sets have formed a foundation upon which we were able to build a deeper understanding of multiparadigm programming and...
    Resource Type:
    Dissertation

  • From multitarget tracking to event recognition in videos

    Creator:
    Brendel, William
    Abstract:
    This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from a host of sources, including motion blur, occlusions, and dynamic cluttered backgrounds. We show that these challenges can be successfully addressed by using a multiscale,...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF William Brendel for the

  • 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