ABSTRACT: The traditional linear programming model is deterministic. The way that uncertainty is handled is to compute the range of optimality. After the optimal solution is obtained, typically by the ...

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Abstract In this paper, we consider the local asymptotics of the nonparametric function in a partially linear model, within the framework of the divide-and-conquer estimation. Unlike the ...

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Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often surpassing ...

CBD creams can be effective for temporary pain relief. However, more research is needed overall. Our testers found temporary relief with some CBD pain creams, but they worked best when coupled ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

The main goal of this paper is to present a methodology to design multi-objective H∞/r -stability interval estimation for linear discrete-time systems affected by bounded, but unknown disturbances.

George Eads, Marc Nerlove, William Raduchel, A Long-Run Cost Function for the Local Service Airline Industry: An Experiment in Non-Linear Estimation, The Review of Economics and Statistics, Vol. 51, ...