Yoshifusa Ito

26 papers B 4C 3Journal 9Unranked 10
YearRankTypeTitle / Venue / Authors
2014 — conf
Estimation of Hidden Markov Chains by a Neural Network.
ICONIP (1)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2012 — conf
Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes.
ICONIP (5)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2011 — conf
A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network.
ICONIP (2)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2011 B conf
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes.
IJCNN
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2010 J jnl
Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes.
Aust. J. Intell. Inf. Process. Syst.
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2009 — conf
Learning of Mahalanobis Discriminant Functions by a Neural Network.
ICONIP (1)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2008 — conf
Multi-category Bayesian Decision by Neural Networks.
ICANN (1)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2008 J jnl
Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks.
Neural Comput.
Yoshifusa Ito
2007 B conf
A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision.
IJCNN
Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi
2007 — conf
Learning of Bayesian Discriminant Functions by a Layered Neural Network.
ICONIP (1)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2006 — conf
Discriminant Analysis by a Neural Network with Mahalanobis Distance.
ICANN (2)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2005 — conf
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities.
ICANN (2)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2005 J jnl
Bayesian decision theory on three-layer neural networks.
Neurocomputing
Yoshifusa Ito, Cidambi Srinivasan
2003 J jnl
Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling.
Neural Comput.
Yoshifusa Ito
2003 C conf
Multicategory Bayesian Decision Using a Three-Layer Neural Network.
ICANN
Yoshifusa Ito, Cidambi Srinivasan
2002 C conf
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks.
ICANN
Yoshifusa Ito
2001 C conf
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information.
ICANN
Yoshifusa Ito, Cidambi Srinivasan
2001 B conf
Bayesian decision theory on three layered neural networks.
ESANN
Yoshifusa Ito, Cidambi Srinivasan
2000 — conf
Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks.
IJCNN (4)
Yoshifusa Ito
1999 B conf
Cultures of neurons on micro-electrode array and control of their axon growth in hybrid retinal implant.
IJCNN
Yoshifusa Ito, Tohru Yagi, H. Kanda, S. Tanaka, M. Watanabe, Yoshiki Uchikawa
1996 J jnl
Nonlinearity creates linear independence.
Adv. Comput. Math.
Yoshifusa Ito
1994 J jnl
Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers.
Neural Comput.
Yoshifusa Ito
1993 — conf
Extension of approximation capability of three layered neural networks to derivatives.
ICNN
Yoshifusa Ito
1992 J jnl
Approximation of continuous functions on R
Neural Networks
Yoshifusa Ito
1991 J jnl
Approximation of functions on a compact set by finite sums of a sigmoid function without scaling.
Neural Networks
Yoshifusa Ito
1991 J jnl
Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory.
Neural Networks
Yoshifusa Ito