نتایج جستجو برای: bounded loss function
تعداد نتایج: 1612405 فیلتر نتایج به سال:
S U M M A R Y Robust magnetotelluric response function estimators are now in standard use in electromagnetic induction research. Properly devised and applied, these have the ability to reduce the influence of unusual data (outliers) in the response (electric field) variables, but are often not sensitive to exceptional predictor (magnetic field) data, which are termed leverage points. A bounded ...
This paper address the problem of Bayesian estimation of the parameters, reliability and hazard function in the context of record statistics values from the two-parameter Lomax distribution. The ML and the Bayes estimates based on records are derived for the two unknown parameters and the survival time parameters, reliability and hazard functions. The Bayes estimates are obtained based on conju...
In this paper, we mainly consider the Cauchy problem of a hyperbolic-parabolic model vasculogenesis in dimension three. We first obtain optimal $ L^2 $-decay rate solution and its highest order derivatives when initial perturbation is small H^3(\mathbb{R}^3) bounded L^1(\mathbb{R}^3) $. Here, optimality means there no decay loss for highest-order spatial derivatives. This refines that [21], whe...
In this paper, an online optimal control scheme for a class of unknown discrete-time (DT) nonlinear systems is developed. The proposed algorithm using current and recorded data to obtain the optimal controller without the knowledge of system dynamics. In order to carry out the algorithm, a neural network (NN) is constructed to identify the unknown system. Then, based on the estimated system mod...
by adding the weighted difference between two population vectors to a third vector. If the resulting vector yields a lower objective function value than a predetermined population member, the newly generated vector will replace the vector with which it was compared in the following generation; otherwise, the old vector is retained. This basic principle, however, is extended when it comes to the...
We study the problem of optimal syntax-guided synthesis of stochastic Chemical Reaction Networks (CRNs) that plays a fundamental role in design automation of molecular devices and in the construction of predictive biochemical models. We propose a sketching language for CRNs that concisely captures syntactic constraints on the network topology and allows its under-specification. Given a sketch, ...
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