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» Interval Methods: An Introduction
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NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 9 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
JIIS
2000
119views more  JIIS 2000»
13 years 9 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
TIM
2010
144views Education» more  TIM 2010»
13 years 4 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
IEAAIE
2009
Springer
14 years 4 months ago
Using Genetic Process Mining Technology to Construct a Time-Interval Process Model
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
Chieh-Yuan Tsai, I-Ching Chen
CSSC
2008
77views more  CSSC 2008»
13 years 10 months ago
Undercoverage of Wavelet-Based Resampling Confidence Intervals
The decorrelating property of the discrete wavelet transformation (DWT) appears valuable because one can avoid estimating the correlation structure in the original data space by b...
Liansheng Tang, Wayne A. Woodward, William R. Schu...