Search the dblp DataBase

Publications of Author

1. Yoshifusa Ito, Cidambi Srinivasan
   Bayesian decision theory on three layered neural networks. [Citation Graph (0, 0)][DBLP]
   ESANN, 2001, pp:377-382 [Conf]
   
2. Yoshifusa Ito
   A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:337-343 [Conf]
   
3. Yoshifusa Ito, Cidambi Srinivasan
   Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information. [Citation Graph (0, 0)][DBLP]
   ICANN, 2001, pp:135-140 [Conf]
   
4. Yoshifusa Ito, Cidambi Srinivasan
   Multicategory Bayesian Decision Using a Three-Layer Neural Network. [Citation Graph (0, 0)][DBLP]
   ICANN, 2003, pp:253-261 [Conf]
   
5. Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
   Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. [Citation Graph (0, 0)][DBLP]
   ICANN (2), 2005, pp:253-259 [Conf]
   
6. Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
   Discriminant Analysis by a Neural Network with Mahalanobis Distance. [Citation Graph (0, 0)][DBLP]
   ICANN (2), 2006, pp:350-360 [Conf]
   
7. Yoshifusa Ito
   Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks. [Citation Graph (0, 0)][DBLP]
   IJCNN (4), 2000, pp:227-231 [Conf]
   
8. Yoshifusa Ito, Cidambi Srinivasan
   Bayesian decision theory on three-layer neural networks. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2005, v:63, n:, pp:209-228 [Journal]
   
9. Yoshifusa Ito
   Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2003, v:15, n:9, pp:2199-2226 [Journal]
   
10. Yoshifusa Ito
    Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:3, pp:385-394 [Journal]
    
11. Yoshifusa Ito
    Approximation of functions on a compact set by finite sums of a sigmoid function without scaling. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:6, pp:817-826 [Journal]
    
12. Yoshifusa Ito
    Approximation of continuous functions on R^d by linear combinations of shifted rotations of a sigmoid function with and without scaling. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:1, pp:105-115 [Journal]
    
13. 
    Multi-category Bayesian Decision by Neural Networks. [Citation Graph (, )][DBLP]
    
    
14. 
    Learning of Bayesian Discriminant Functions by a Layered Neural Network. [Citation Graph (, )][DBLP]
    
    
15. 
    Learning of Mahalanobis Discriminant Functions by a Neural Network. [Citation Graph (, )][DBLP]
    
    
16. 
    A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision. [Citation Graph (, )][DBLP]
    
    
17. 
    Nonlinearity creates linear independence. [Citation Graph (, )][DBLP]