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COLT
1992
Springer
15 years 7 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
WSC
2007
15 years 5 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
CMSB
2008
Springer
15 years 5 months ago
Stochastic Analysis of Amino Acid Substitution in Protein Synthesis
Abstract. We present a formal analysis of amino acid replacement during mRNA translation. Building on an abstract stochastic model of arrival of tRNAs and their processing at the r...
Dragan Bosnacki, Huub M. M. ten Eikelder, M. N. St...
133
Voted
IJNSEC
2007
144views more  IJNSEC 2007»
15 years 3 months ago
IPLess Stochastic Anonymous Routing Algorithm Using Multi-Agent Systems
The ability of communicating with a selected party anonymously is an important aspect of network security. Communicating anonymously means that no adversary can discern who is com...
Magdy Saeb, Meer Hamza, Ahmed El-Shikh
118
Voted
TON
2010
132views more  TON 2010»
15 years 1 months ago
The optimality of two prices: maximizing revenue in a stochastic communication system
—This paper considers the problem of pricing and transmission scheduling for an Access Point (AP) in a wireless network, where the AP provides service to a set of mobile users. T...
Longbo Huang, Michael J. Neely