Showing 1 - 20 results of 75 for search '(( ((statistical learning) OR (statistical modeling)) theory ) OR ( statistical string theory ))', query time: 0.19s Refine Results
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    A reformulation of additive models by Wozniakowski, Alex

    Published 2022
    “…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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    Thesis-Doctor of Philosophy
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    Statistics and Probability Theory : In Pursuit of Engineering Decision Support / by Faber, M. H. (Michael Havbro), author 656113

    Published [201
    “…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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    software, multimedia
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    Refining learning models in grammatical inference by Wang, Xiangrui

    Published 2008
    “…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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    Thesis
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    Multiscale approach to nematic liquid crystals via statistical field theory by Lu, Bing-Sui

    Published 2018
    “…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. …”
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    Journal Article
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    Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

    Published 2015
    “…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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    Thesis
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    Integrated user-interface acceptance model for e-learning system by Ramadiani, -

    Published 2014
    “…Based on t-value, loading factors, and the relative suitability of each attribute, the User Interface Acceptance Model for e-learning can be accepted. Based on the Goodness of Fit statistical value in the first and the second model, the model of e-learning user interface has a highly significant correlation with e-learning acceptance. …”
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    Thesis
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