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Filtering by: Creator Letelier, Ricardo M. Remove constraint Creator: Letelier, Ricardo M. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation
    Full Text:
    : Information Theoretical Analysis of Self-Similar Trees Abstract approved: Juan M. Restrepo Tree-like

  • 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

  • Exploratory Study to Uncover Student Mental Models of Singly Linked Lists in the C Programming Language

    Creator:
    Almadhoun, Eman
    Abstract:
    In computer science, learning abstract fundamental programming concepts requiring students to understand memory management can be very difficult and lead to misunderstandings that carry on into advanced topics. This is especially true in data structures with abstract data types. Understanding how novice students think and reason about data structures is...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . 41 4.4 Spatial Visualization Test Score. Note that N is the sample size, M is the mean, Min. is the

  • Evaluating the Effects of Multiple Environmental Stressors on the Gulf of Alaska Pacific Cod Fishery Using a Dynamic Stress-Scape Framework

    Creator:
    Blaisdell, Josiah
    Abstract:
    The Gulf of Alaska (GOA) is home to the most productive fisheries in the world. In 2019, 2.2 million metric tons of fish were shipped from Alaska to destinations all over the world (NOAA Fisheries, 2019). From 2014-2016 and, more recently, in 2019 the largest heatwaves in recorded history caused...
    Resource Type:
    Masters Thesis

  • Resource-Aware Distributed Data Sanitization for Privacy Preserving Machine Learning

    Creator:
    Anand, Yashwanthi
    Abstract:
    When a single object is captured by multiple edge devices, the data captured by every edge device could contain both public and private information. The private information in every copy of the data captured has to be preserved while the public information has to be utilized for any further machine...
    Resource Type:
    Masters Thesis
    Full Text:
    details of the process explained above. A mini-batch set with m data instances, {x1, ..., xm} is sampled

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    nmin is reached. 1. Select m variables at random from the p variables. 2. Pick the best variable

  • Contributions to a Java recommender system

    Creator:
    Wang, Yun
    Abstract:
    Identifying the most relevant items in an e-commerce site is becoming more and more difficult nowadays because of the heavy overload of information. A Java Recommender System that uses Collaborative Filtering techniques has been developed to reduce such information overload and even personalize the information to the individual’s preference. The...
    Resource Type:
    Capstone Project
    Full Text:
    all neighbors. The formula is given as follows: ua m i uiuaia ua rrrr w σσ * )(*)( 1

  • Identifying Design Discussion Topics in Open Source Software

    Creator:
    Chatterjee, Amreeta
    Abstract:
    When contributing to a software system, developers need to understand the rationale for previous design decisions so that they can adhere to the system’s design. Not doing so can lead to erosion of the overall design quality of the system. However, discussions embedded in a large volume of communication on...
    Resource Type:
    Masters Thesis

  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis

  • Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

    Creator:
    Ghadakchi, Vahid
    Abstract:
    Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
    Resource Type:
    Dissertation
    Full Text:
    the paper has been accessed divided by sum of all access counts. We define I(m) as a subset of the