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of 167
pro vyhledávání: '"Abdallah, Chaouki T."'
Recurrent neural networks (RNNs) have many advantages over more traditional system identification techniques. They may be applied to linear and nonlinear systems, and they require fewer modeling assumptions. However, these neural network models may a
Externí odkaz:
http://arxiv.org/abs/2204.03125
The experience transfer students encounter as they navigate their journeys from community college to university is similar to that of buying a used car. We demonstrate this by showing how the information asymmetry in the market for used cars also occ
Externí odkaz:
http://arxiv.org/abs/2203.00610
Autor:
Heileman, Gregory L., Free, Hayden W., Flynn, Johnny, Mackowiak, Camden, Jaromczyk, Jerzy W., Abdallah, Chaouki T.
In this research paper we describe a study that involves measuring the complexities of undergraduate curricula offered by computer science departments, and then comparing them to the quality of these departments, where quality is determined by a metr
Externí odkaz:
http://arxiv.org/abs/2006.06761
In this paper we articulate a framework for quantifying the complexity of curricula based on their fundamental structural and instructional properties. We then introduce the notion of curricular analytics as a means of relating curricular complexity
Externí odkaz:
http://arxiv.org/abs/1811.09676
We present an incentive model for route distribution in the context of path vector routing protocols and we focus on the Border Gateway Protocol (BGP). BGP is the de-facto protocol for interdomain routing on the Internet. We model BGP route distribut
Externí odkaz:
http://arxiv.org/abs/0909.3558
Publikováno v:
Change, 2015 May 01. 47(3), 30-39.
Externí odkaz:
http://www.jstor.org/stable/44081725
Autor:
Abdallah, Chaouki T.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2011 Oct . 108(42), 17243-17244.
Externí odkaz:
https://www.jstor.org/stable/41352484
Akademický článek
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Autor:
Heileman, Gregory L.1, Abdallah, Chaouki T.2
Publikováno v:
Change. May/Jun2019, Vol. 51 Issue 3, p62-66. 5p.
Publikováno v:
In Signal Processing 2010 90(1):282-291