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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
will include how biases can shape science in terms of the questions under study, scientific inferences, and the types of knowledge and assumptions that inform applications, shape teaching, and influence
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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