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Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models
Non-parametric supervised learning algorithms represent a succinct class of supervised learning algorithms where the learning parameters are highly flexible and whose values are directly dependent on the size of the training data.
A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach
Within this paper, the exploration of an evolutionary approach to an alternative CellLineNet: a convolutional neural network adept at the classification of epithelial breast cancer cell lines, is presented.
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