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Yoshifusa Ito
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2010 – 2019
- 2014
- [c17]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Estimation of Hidden Markov Chains by a Neural Network. ICONIP (1) 2014: 602-609 - 2012
- [c16]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes. ICONIP (5) 2012: 25-33 - 2011
- [c15]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network. ICONIP (2) 2011: 596-605 - [c14]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. IJCNN 2011: 733-740 - 2010
- [j9]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010)
2000 – 2009
- 2009
- [c13]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Learning of Mahalanobis Discriminant Functions by a Neural Network. ICONIP (1) 2009: 417-424 - 2008
- [j8]Yoshifusa Ito:
Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks. Neural Comput. 20(11): 2757-2791 (2008) - [c12]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Multi-category Bayesian Decision by Neural Networks. ICANN (1) 2008: 21-30 - 2007
- [c11]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Learning of Bayesian Discriminant Functions by a Layered Neural Network. ICONIP (1) 2007: 238-247 - [c10]Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi:
A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision. IJCNN 2007: 2993-2998 - 2006
- [c9]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Discriminant Analysis by a Neural Network with Mahalanobis Distance. ICANN (2) 2006: 350-360 - 2005
- [j7]Yoshifusa Ito, Cidambi Srinivasan:
Bayesian decision theory on three-layer neural networks. Neurocomputing 63: 209-228 (2005) - [c8]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. ICANN (2) 2005: 253-259 - 2003
- [j6]Yoshifusa Ito:
Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling. Neural Comput. 15(9): 2199-2226 (2003) - [c7]Yoshifusa Ito, Cidambi Srinivasan:
Multicategory Bayesian Decision Using a Three-Layer Neural Network. ICANN 2003: 253-261 - 2002
- [c6]Yoshifusa Ito:
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks. ICANN 2002: 337-343 - 2001
- [c5]Yoshifusa Ito, Cidambi Srinivasan:
Bayesian decision theory on three layered neural networks. ESANN 2001: 377-382 - [c4]Yoshifusa Ito, Cidambi Srinivasan:
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information. ICANN 2001: 135-140 - 2000
- [c3]Yoshifusa Ito:
Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks. IJCNN (4) 2000: 227-231
1990 – 1999
- 1999
- [c2]Yoshifusa Ito, Tohru Yagi, H. Kanda, S. Tanaka, M. Watanabe, Yoshiki Uchikawa:
Cultures of neurons on micro-electrode array and control of their axon growth in hybrid retinal implant. IJCNN 1999: 178-181 - 1996
- [j5]Yoshifusa Ito:
Nonlinearity creates linear independence. Adv. Comput. Math. 5(1): 189-203 (1996) - 1994
- [j4]Yoshifusa Ito:
Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers. Neural Comput. 6(6): 1233-1243 (1994) - 1993
- [c1]Yoshifusa Ito:
Extension of approximation capability of three layered neural networks to derivatives. ICNN 1993: 377-381 - 1992
- [j3]Yoshifusa Ito:
Approximation of continuous functions on Rd by linear combinations of shifted rotations of a sigmoid function with and without scaling. Neural Networks 5(1): 105-115 (1992) - 1991
- [j2]Yoshifusa Ito:
Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory. Neural Networks 4(3): 385-394 (1991) - [j1]Yoshifusa Ito:
Approximation of functions on a compact set by finite sums of a sigmoid function without scaling. Neural Networks 4(6): 817-826 (1991)
Coauthor Index
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