Platform now available to pharmaceutical research partners; powers collaborations totaling over $200 million SEATTLE, Jan. 6, 2026 /PRNewswire/ -- Variant Bio, a genomics-driven AI drug discovery ...
Abstract: Few-shot hyperspectral image (HSI) classification poses challenges due to sample selection bias in few-shot scenarios, potentially leading to incorrect statistical associations between ...
What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...
Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
Abstract: - this paper proposes a novel approach in decision making in the agriculture sector by combining Bayesian inference with machine learning techniques, specifically random forest (RF). Using a ...
Membership inference (MI) attacks highlight a privacy weakness in present stochastic training methods for neural networks. It is not well understood, however, why they arise. Are they a natural ...
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