Browsing by Subject "Feature Selection"
Now showing items 1-5 of 5
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(2019-08-20)The advancement in technology and computational power has enabled large amounts of data collection in real time, which has initiated the "Big Data" era. Big data analytics is playing an essential role in academy, business ...
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(2020-07-30)Monte Carlo REINFORCE is used to design an algorithm to not only find the optimal deep learning architecture but also the optimal set of features that can maximize the performance of the said deep learning model. The ...
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(2009-06-02)Data preprocessing is critical for machine learning, data mining, and pattern recognition. In particular, selecting relevant and non-redundant features in highdimensional data is important to efficiently construct models ...
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(2019-11-25)This dissertation attempts to address the changing needs of data science and analytics: making it easier to produce accurate models opening up opportunities and perspectives for novices to make sense of existing data. This ...
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(2018-11-01)Unsupervised and semi-supervised learning are explored in convex clustering with metric learning while supervised learning is explored in a novel feature selection method. First, we evaluate the performance of convex ...