When we set our expectations and operate based on the sequence of events that unfolded the last time a similar situation has occurred, we surrender to history.
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Agentic Postgres from Tiger Data offers persistent memory and BM25 search, helping you build faster and add Stripe payments ...
And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...
Summary: A new preclinical study reveals that the hippocampus does more than just store memories; it actively reorganizes them to predict future rewards. By tracking brain activity over several weeks, ...
Abstract: Predictive coding is a theory developed to explain how the brain predicts statistical regularities present in nature and eliminates redundant stimuli between cortical layers. A common method ...
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