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pro vyhledávání: '"Negash G"'
Autor:
Comert, Gurcan, Amdeberhan, Tewodros, Begashaw, Negash, Medhin, Negash G., Chowdhury, Mashrur
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
This paper presents Bayesian parameter estimation for first order Grey system models' parameters (or sometimes referred to as hyperparameters). There are different forms of first-order Grey System Models. These include $GM(1,1)$, $GM(1,1| \cos(\omega
Externí odkaz:
http://arxiv.org/abs/2108.06839
Akademický článek
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Autor:
Negash G. Medhin, Chuan Xu
Publikováno v:
Stochastic Analysis and Applications. 40:776-797
An optimal asset allocation problem involving restrictions on liquidity is studied in this article. The portfolio consists of liquid and illiquid asset. The portfolio is only allowed to rebalance a...
Publikováno v:
European Journal of Operational Research. 290:248-262
As a well-known machine learning technique, support vector machine (SVM) with a kernel function achieves much success in nonlinear binary classification tasks. Recently, some quadratic surface SVM models are proposed and studied by utilizing quadrati
Autor:
Chuan Xu, Negash G. Medhin
Publikováno v:
Journal of Optimization Theory and Applications. 187:566-584
In this paper, a nonzero-sum stochastic differential reinsurance game is studied. A model including controls for the market share (advertising), investment, and reinsurance policies is considered. A jump–diffusion process is used to represent insur
Publikováno v:
Quarterly of Applied Mathematics, 2004 Dec 01. 62(4), 767-779.
Externí odkaz:
https://www.jstor.org/stable/43638656
Publikováno v:
2021 6th International Conference on Communication and Electronics Systems (ICCES).
The multiple user terminals in a satellite transponder's communication channel would be competing for limited radio resources to meet their selfish data rates. The interference among users also limits the performance of a transponder. The spectrum an
Autor:
Chuan Xu, Negash G Medhin
Publikováno v:
Neural, Parallel, & Scientific Computations. 28
Publikováno v:
Knowledge-Based Systems. 226:107123
Multi-class classification is an important and challenging research topic with many real-life applications. The problem is much harder than the classical binary classification, especially when the given data set is imbalanced. Hidden nonlinear patter