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Filtering by: Alternative title ssim Report no. 74-16 Remove constraint Alternative title ssim: Report no. 74-16 Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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  • Visual SQL analyzer project report

    Creator:
    Li, Xiaoyan
    Abstract:
    Structure Query Language (SQL) is widely used to access data stored in relational database systems. Although a powerful and flexible language, SQL can also be complex and hard to learn. For most new SQL users, it's easy to write SQL statement by following SQL grammar and syntax rules, but it's...
    Resource Type:
    Capstone Project
    Full Text:
    I .. 'I') f Visual SQL Analyzer Project Report

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation
    Full Text:
    degree of Doctor of Philosophy in Computer Science presented on June 16, 2017. Title: Learning with

  • muupi: An Abstract Syntax Tree based Mutation Testing Tool for Python 2.x Programs

    Creator:
    Liu, Xin
    Abstract:
    Mutation testing is one of the effective approaches measuring test adequacy of test suites. It is widely used in both academia and industry. Unfortunately, the adoption and practical use of mutation testing for Python 2.x programs face three obstacles. First, limited useful mutation operators. Existing mutation testing tools support very...
    Resource Type:
    Capstone Project
    Full Text:
    , which also limits the use of mutation testing strategy in research or practi- cal projects. Second, no

  • Machine learning methods for public policy : simulation, optimization, and visualization

    Creator:
    McGregor, Sean
    Abstract:
    Society faces many complex management problems, particularly in the area of shared public resources such as ecosystems. Existing decision making processes are often guided by personal experience and political ideology rather than state-of-the-art scientific understanding. This dissertation envisions a future in which multiple stakeholders are provided with computational tools for...
    Resource Type:
    Dissertation
    Full Text:
    management [16], and real time strategy games [61]. 15 While no general visualization for large MDPs has

  • Reinforcement learning for job-shop scheduling

    Creator:
    Zhang, Wei, 1960-
    Resource Type:
    Dissertation
    Full Text:
    of Doctor of Philosophy in Computer Science presented on April 16, 1996. Title: Reinforcement

  • Image features and learning algorithms for biological, generic and social object recognition

    Creator:
    Zhang, Wei
    Abstract:
    Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...
    Resource Type:
    Dissertation
    Full Text:
    and Computer Engineering on March 16, 2009. Title: Image Features and Learning Algorithms for

  • Weakly Supervised Learning for Activity Recognition from Time Series Data

    Creator:
    Guan, Xinze
    Abstract:
    The thesis focuses on activity recognition from sensor data, which has spurred a great deal of interest due to its impact on health care and security. Previous work on activity recognition from multivariate time series data has mainly applied supervised learning techniques which require a high degree of annotation effort...
    Resource Type:
    Dissertation
    Full Text:
    degree of Doctor of Philosophy in Computer Science presented on June 16, 2017. Title: Weakly Supervised

  • Feedback-Based Random Test Generator for TSTL

    Creator:
    Kaneoka, Kazuki
    Abstract:
    Software testing is the process of evaluating the accuracy and performance of software, and automated software testing allows programmers to develop software more efficiently by decreasing testing costs. We compared two advanced random test generators, a Feedback-Directed Random Test Generator (FDR) and a Feedback-Controlled Random Test Generator (FCR), for an...
    Resource Type:
    Capstone Project
    Full Text:
    throughout my studies and research. There is no doubt that I would not have accomplished this achievement

  • D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

    Creator:
    Rahmattalabi, Aida
    Abstract:
    Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....
    Resource Type:
    Masters Thesis
    Full Text:
    16 3.1 Counterfactuals for Potential Actions . . . . . . . . . . . . . . . . . . . . . 16 3.2 D

  • An Empirical Evaluation of Policy Rollout for Clue

    Creator:
    Marshall, Eric
    Abstract:
    We model the popular board game of Clue as an MDP and evaluate Monte-Carlo policy rollout in a simulated environment pitting different agents and policies against each other. We describe the choices we made in the representation, along with some of the problems we encountered along the way. We find...
    Resource Type:
    Capstone Project
    Full Text:
    now it is operating on a fully solved state instead of a partially observed state, so it is no