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Filtering by: Creator Jones, Molly M. Remove constraint Creator: Jones, Molly M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Advisor Wong, Weng Keen Remove constraint Advisor: Wong, Weng Keen Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Prediction of gene transcription start sites and initiation patterns from DNA sequence content

    Creator:
    Morton, Taj H.
    Abstract:
    The computational identification of gene Transcription Start Sites (TSSs) can provide insights into the regulation and function of genes without performing expensive experiments, particularly in organisms with incomplete annotations. High-resolution general-purpose TSS prediction remains a challenging problem, with little recent progress on the identification and differentiation of TSSs which are...
    Resource Type:
    Masters Thesis
    Full Text:
    . Abstract approved: ______________________________________________________ Molly Megraw, Weng-Keen Wong

  • On feature relevance feedback methods : incorporating labeled user features

    Creator:
    Oberst, Ian
    Abstract:
    In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature relevance feedback has the potential to dramatically increase classification performance. We review previous work on incorporating feature relevance feedback in the form of labeled features...
    Resource Type:
    Masters Thesis
    Full Text:
    , consisting of M features. D : The set of all training data, consisting ofN instances. (xi, yi) : An

  • Visualization and analysis of sensor data for detecting microclimate cold air pools

    Creator:
    Singh, Satpreet Harcharan
    Abstract:
    Cold air pools are spatiotemporal phenomena that occur when cold air from higher elevations roll down the slope to accumulate in lower elevations. Behaviors like this lead to microclimate anomalies such as the city of Corvallis (Oregon) experiencing persistent cold weather even on a sunny day. We analyze multivariate temperature...
    Resource Type:
    Masters Thesis
    Full Text:
    -period. We thank Dr. Julia Jones, from the OSU Dept. of Forestry, who provided us the data and 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

  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    , Janardhan Rao Doppa, Shubhomoy Das, Tom Dietterich, Susan Shirley, Sarah Frey, Matt Betts and Julia Jones

  • Rare category detection using hierarchical mean shift

    Creator:
    Vatturi, Pavan Kumar
    Abstract:
    Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant anomalies, a more difficult task is to identify anomalies that are both interesting and statistically significant. Category detection is an emerging area of machine learning...
    Resource Type:
    Masters Thesis
    Full Text:
    examples S = {x1, x2, ...., xn} where xi ∈ �d are fromm distinct classes labeled yi = {1, 2..., m}. The

  • Incorporating User Feedback into Machine Learning Systems

    Creator:
    Das, Shubhomoy
    Abstract:
    Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree of end user feedback. This is especially true when the machine learning system needs to customize itself to the end user's preferences, such as in...
    Resource Type:
    Dissertation
    Full Text:
    to the 13 training data. The conditional probability for an M-class problem is: Pθ(yi = cj |xi

  • Characterizing and Addressing Dataset Shift with Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
    Resource Type:
    Dissertation
    Full Text:
    vs. StyleGAN-R. And CelebA-M is a control dataset we create that does not contain glasses, ties and