Yoshifusa Ito

According to our database, Yoshifusa Ito authored at least 26 papers between 1991 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Estimation of Hidden Markov Chains by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2012

Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Aust. J. Intell. Inf. Process. Syst., 2010

2009

Learning of Mahalanobis Discriminant Functions by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks.

Yoshifusa Ito

Neural Comput., 2008

Multi-category Bayesian Decision by Neural Networks.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks, 2008

2007

A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision.

Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi

Proceedings of the International Joint Conference on Neural Networks, 2007

Learning of Bayesian Discriminant Functions by a Layered Neural Network.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Discriminant Analysis by a Neural Network with Mahalanobis Distance.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks, 2006

2005

Bayesian decision theory on three-layer neural networks.

Yoshifusa Ito, Cidambi Srinivasan

Neurocomputing, 2005

Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2003

Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling.

Yoshifusa Ito

Neural Comput., 2003

Multicategory Bayesian Decision Using a Three-Layer Neural Network.

Yoshifusa Ito, Cidambi Srinivasan

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks.

Yoshifusa Ito

Proceedings of the Artificial Neural Networks, 2002

2001

Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information.

Yoshifusa Ito, Cidambi Srinivasan

Proceedings of the Artificial Neural Networks, 2001

Bayesian decision theory on three layered neural networks.

Yoshifusa Ito, Cidambi Srinivasan

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks.

Yoshifusa Ito

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Cultures of neurons on micro-electrode array and control of their axon growth in hybrid retinal implant.

Yoshifusa Ito, Tohru Yagi, H. Kanda, S. Tanaka, M. Watanabe, Yoshiki Uchikawa

Proceedings of the International Joint Conference Neural Networks, 1999

1996

Nonlinearity creates linear independence.

Yoshifusa Ito

Adv. Comput. Math., 1996

1994

Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers.

Yoshifusa Ito

Neural Comput., 1994

1993

Extension of approximation capability of three layered neural networks to derivatives.

Yoshifusa Ito

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Approximation of continuous functions on R^d by linear combinations of shifted rotations of a sigmoid function with and without scaling.

Yoshifusa Ito

Neural Networks, 1992

1991

Approximation of functions on a compact set by finite sums of a sigmoid function without scaling.

Yoshifusa Ito

Neural Networks, 1991

Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory.

Yoshifusa Ito

Neural Networks, 1991