Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
ABSTRACT: Health infrastructure is a major socioeconomic and territorial equity issue, as its availability improves both local population living conditions and makes their areas attractive. The ...
Many professors in the humanities are giving up on assigning papers. Working against the tsunami of AI writing is exhausting and disheartening. Those with heavy course loads can’t do it anymore. But ...
I've tried a few models on this problem and invariably they spit out utter garbage -- wrong solution and non-sensical "proof". I'd be curious if this model does a much better job on it. Out of 48 ...
Abstract: Learning-based methods have been widely applied to solve electromagnetic (EM) inverse scattering problems (ISPs). In learning-based induced current inversions, the deterministic part of the ...
Much of mathematics involves so-called forward problems. These problems begin with a model of a physical system — say, a ball rolling down an incline plane — and researchers use parameters, such as ...
Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...
I'm trying to solve an inverse problem to obtain two parameter values, a and b. I want the initial condition at time t=0 to fulfill a relation, e.g. x_t0 = a/b. Since I have to initialize a and b as ...
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