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TNN
1998
146views more  TNN 1998»
13 years 7 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
WSC
2007
13 years 9 months ago
Estimating the probability of a rare event over a finite time horizon
We study an approximation for the zero-variance change of measure to estimate the probability of a rare event in a continuous-time Markov chain. The rare event occurs when the cha...
Pieter-Tjerk de Boer, Pierre L'Ecuyer, Gerardo Rub...
EOR
2010
125views more  EOR 2010»
13 years 7 months ago
Efficient estimation of large portfolio loss probabilities in t-copula models
We consider the problem of accurately measuring the credit risk of a portfolio consisting of loans, bonds and other financial assets. One particular performance measure of interes...
Joshua C. C. Chan, Dirk P. Kroese
EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 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...
EUSFLAT
2009
134views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Flow Line Systems with Possibilistic Data: a System with Waiting Time in Line Uncertain
This paper proposes to analyze two flow line systems in which we include possibilistic data -the priority-discipline is possibilistic instead of probabilistic- and measure the perf...
David de la Fuente, María José Pardo