Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Objectives To estimate food availability and the contribution of different food sources during the first 10 months (7 October ...
We measure the “warmness” of the dark matter, i.e. the comoving root-mean-square thermal velocity v hrms (1) , with nearly 3000 spiral galaxy rotation curves in the ...
Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...
Abstract: The empirical frequency-domain optimal parameter (EFOP) estimate is a class of identification method combining the time-domain and the frequency-domain, which has the advantages of strong ...
Abstract: We consider the continuous-time temporal difference (TD) learning dynamics with nonlinear value function approximations, where there is a slim understanding of the convergence properties in ...
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