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» Statistical Methods for Construction of Neural Networks
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NN
2002
Springer
107views Neural Networks» more  NN 2002»
13 years 8 months ago
Equivariant nonstationary source separation
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...
Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
ICANN
2010
Springer
13 years 9 months ago
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodai...
GECCO
2004
Springer
169views Optimization» more  GECCO 2004»
14 years 2 months ago
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
Marylyn D. Ritchie, Christopher S. Coffey, Jason H...
IJCNN
2006
IEEE
14 years 2 months ago
Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex
— Neuronal activities related to context-dependent recall have been found in the monkey inferotemporal cortex. If we set the same task for an artificial neural network, however,...
Atsuo Suemitsu, Masahiko Morita
BMCBI
2008
108views more  BMCBI 2008»
13 years 8 months ago
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroun
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
Silvana Penco, Massimo Buscema, Maria Cristina Pat...