Search Constraints

Start Over
Filtering by: Creator Koenen, Erik J. M. Remove constraint Creator: Koenen, Erik J. M. Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    for Efficient Learning of Point-Goal Navigation Abstract approved: Stefan M. Lee Top-performing

  • The expressive power and declarative attributes of exception handling in Forms/3

    Creator:
    Agrawal, Anurag
    Abstract:
    Exception handling is a programming language feature that can help increase the reliability of programs. However, not much work has been done on exception handling in visual programming languages. We present an approach for improving the exception handling mechanism in Forms/3, a declarative visual programming language based on the spreadsheet...
    Resource Type:
    Masters Thesis
    Full Text:
    Declarative Attributes of Exception Handling in Forms/3. Abstract approved: Mafgaret M. Burnett Exception

  • The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

    Creator:
    Mendez, Christopher
    Abstract:
    How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: ______________________________________________________ Margaret M. Burnett

  • Similarity inheritance : a model of inheritance for declarative visual programming languages

    Creator:
    Djang, Rebecca W. (Rebecca Walpole)
    Abstract:
    Declarative visual programming languages (VPLs), including spreadsheets, make up a large portion of both research and commercial VPLs. Spreadsheets in particular enjoy a wide audience, including end users. Unfortunately, spreadsheets and most other declarative VPLs still suffer from some of the problems that have been solved in other languages, such...
    Resource Type:
    Dissertation
    Full Text:
    Model of Inheritance for Declarative Visual Programming Languages. Abstract approved: Margaret M

  • Creating Animal Hair Through Graphical Animation Fit for Video Game Simulation Rendering Times

    Creator:
    Parsons, Zach M.
    Abstract:
    Graphics of hair have been constantly improved since Kajiya’s famous teddy bear in 1989. By combining these concepts and real-world physics laws, I created a realistic representation of hair on a sphere-shaped head. OpenGL also provides a constantly updated display to continuously render the graphic. Using springs, the hair can...
    Resource Type:
    Honors College Thesis
    Full Text:
    on cortical cells, they determined that the spring constant of hair was 25.2 N/m while controlling

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: __________________________________________ Michael J. Bailey It is possible to

  • Meeting End-to-End Deadlines in Real-Time Networks Using Software Defined Networking (SDN)

    Creator:
    Almahdi, Rafid M.
    Abstract:
    Network flows in Real-Time (RT) systems need to meet stringent end-to-end deadlines in order for such systems to operate safely and reliably. Today, such systems use custom or domain specific network system designs to meet end-to-end deadlines and other constraints of real-time flows. In this work we explore the design...
    Resource Type:
    Dissertation
    Full Text:
    ∀Fi : Pi = 25 π1π2 · · · πk with π1 = si, πk = ti and (πj, πj+1) ∈ E for all 1 ≤ j ≤ k − 1. The

  • Building Self Adaptive Software Systems via Test-based Modifications

    Creator:
    Christi, Arpit M.
    Abstract:
    Building software systems that adapt to the changing environment is challenging. Developers cannot anticipate all the changes in advance, and even if they could, the effort required to handle such situations is too onerous for practical purposes. Self Adaptive Software (SAS) adapts itself as per changing environment. The area of...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . viii 2.1 Average increase in memory use (mean M+) for NetBeans IDE ver- sions

  • Web-based Deep Segmentation of Building Structure

    Creator:
    Chen, Zehuan
    Abstract:
    Deep learning and neural network has been widely used in research, deep learning has empowered many tasks such as point clouds segmentation and shape recognition. One of the main advantages of deep interaction point cloud segmentation is that it allows the feature extraction can be learned through neural network based...
    Resource Type:
    Masters Thesis
    Full Text:
    each point in the scene into m different classes. It takes n points as input, applies input and

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    distribution of p after intervention is: p(V1, ..., Vn) = ∏ Vi∈Oe pi(Vi | Pa(Vi)) · ∏ Vj∈Ie p′j(Vj | Pa(Vj