Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
A new Gaussian process framework learns sparse, ordered dependency graphs from irregular electronic health records while ...
A Bayesian-optimized Gaussian process regression framework accurately predicts the splitting tensile strength of concrete ...
GPR works well with small datasets and generates a metric of confidence of a predicted result, but it's moderately complex and the results are not easily interpretable, says Dr. James McCaffrey of ...
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