Cross-validation is a process that can be used to estimate the quality of a neural network. When applied to several neural networks with different free parameter values (such as the number of hidden ...
Long-Term Outcomes in a Multicenter, Prospective Cohort Evaluating the Prognostic 31-Gene Expression Profile for Cutaneous Melanoma A developing data set and a test data set were generated from ...
Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...
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