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» Bootstrap for neural model selection
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WSC
2004
13 years 10 months ago
Better Selection of the Best
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
Huaiyu Harry Ma, Thomas R. Willemain
WSC
2001
13 years 10 months ago
Analysis of simulation experiments by bootstrap resampling
This tutorial considers some very general procedures for analysing the results of a simulation experiment using bootstrap resampling. Bootstrapping has come to be recognised in st...
Russell C. H. Cheng
COR
2008
80views more  COR 2008»
13 years 8 months ago
Neural network-based mean-variance-skewness model for portfolio selection
In this study, a novel neural network-based mean
Lean Yu, Shouyang Wang, Kin Keung Lai
ICIC
2007
Springer
14 years 2 months ago
Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
Huanhuan Chen, Xin Yao
ECCV
2006
Springer
14 years 10 months ago
Sampling Representative Examples for Dimensionality Reduction and Recognition - Bootstrap Bumping LDA
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
Hui Gao, James W. Davis