Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Nested simulation is a powerful tool for estimating widely-used risk measures, such as Value-at-Risk (VaR). While point estimation of VaR has been extensively studied in the literature, the ...
Abstract: In the era of highly interconnected information, Opportunistic Networks (ONs) attract attention for their flexibility and dynamics. To overcome the limitations of traditional community ...
$243\left( \frac{x^2}{9} + \frac{y^2}{4} + \frac{z^2}{9} - 1 \right)^3 - x^2 z^3 - \frac{9}{80} y^2 z^3=0$ $\left[ \left( x^2 + y^2 - 5.76 \right)^2 + \left( z^2 - 9 ...
Empirical Study of Interval Scheduling Algorithms 1. Overview of Implementation The coding task implements and empirically evaluates greedy heuristics and an exhaustive optimal solver for the Interval ...
1 College of Mathematics and Statistics, Yunnan University, Kunming, China. 2 Department of Mathematics, Penn State University, Schuylkill Haven, PA, USA. Koch curve is basically one dimensional while ...
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