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ICML
1995
IEEE
16 years 7 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
ENGL
2007
109views more  ENGL 2007»
15 years 6 months ago
Using Neural Network for DJIA Stock Selection
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
Tong-Seng Quah
IJCNN
2006
IEEE
16 years 10 days ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
15 years 12 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
DAS
2008
Springer
15 years 8 months ago
An End-to-End Administrative Document Analysis System
This paper presents an end-to-end administrative document analysis system. This system uses case-based reasoning in order to process documents from known and unknown classes. For ...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...