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» On Computing Functions with Uncertainty
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EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Soft computing in investment appraisal
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
Antoaneta Serguieva, John Hunter, Tatiana Kalganov...
MP
2006
101views more  MP 2006»
13 years 8 months ago
Computational complexity of stochastic programming problems
Stochastic programming is the subfield of mathematical programming that considers optimization in the presence of uncertainty. During the last four decades a vast amount of litera...
Martin E. Dyer, Leen Stougie
TSMC
2008
113views more  TSMC 2008»
13 years 8 months ago
Computational Methods for Verification of Stochastic Hybrid Systems
Stochastic hybrid system (SHS) models can be used to analyze and design complex embedded systems that operate in the presence of uncertainty and variability. Verification of reacha...
Xenofon D. Koutsoukos, Derek Riley
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
14 years 2 months ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong
JACIII
2006
69views more  JACIII 2006»
13 years 9 months ago
Towards a Model of Computer Science Graduate Admissions Decisions
Potential applicants to graduate school find it difficult to predict, even approximately, which schools will accept them. We have created a predictive model of admissions decision...
Nigel Ward