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Neural Computation|August 10, 2000
Adaptive method of realizing natural gradient learning for multilayer perceptronsS Amari, H Park, K FukumizuNeural Networks : the Official Journal of the International Neural Network Society|August 11, 2000
Local minima and plateaus in hierarchical structures of multilayer perceptronsK Fukumizu, S AmariNeural Networks : the Official Journal of the International Neural Network Society|January 11, 2001
Adaptive natural gradient learning algorithms for various stochastic modelsH Park, S I Amari, K FukumizuIEEE Transactions on Neural Networks|February 6, 2008
Statistical active learning in multilayer perceptronsK FukumizuIEEE Transactions on Neural Networks|January 1, 1995
Probabilistic design of layered neural networks based on their unified frameworkS Watanabe, K FukumizuNeural Computation|September 8, 2000
Estimating functions of independent component analysis for temporally correlated signalsS AmariNeural Computation|December 1, 1999
Natural gradient learning for over- and under-complete bases In ICAS AmariJournal of Mathematical Biology|May 15, 1979
Existence and stability of local excitations in homogeneous neural fieldsK Kishimoto, S AmariNeural Computation|May 5, 1999
Blind separation of a mixture of uniformly distributed source signals: A novel approachJ Basak, S AmariIEEE Transactions on Neural Networks|February 7, 2008
Blind separation of uniformly distributed signals: a general approachJ Basak, S AmariPageof 649