Yoshinori Uesaka

发表

Analog Perceptrons: On Additive Representation of Functions

Yoshinori Uesaka, Yoshinori Uesaka, 1971, Inf. Control..

Information-Theoretic Considerations on Learning

Yoshinori Uesaka, Yoshinori Uesaka, 1972 .

On a learning theory in which pattern structure is taken into account

Yoshinori Uesaka, 2002, Systems and Computers in Japan.

Amino acid sequences and DP matching: A new method for alignment

Masanori Ohya, Yoshinori Uesaka, Yoshinori Uesaka, 1992, Inf. Sci..

Special issue on recent trends in neural networks. Neural networks from the viewpoint of information sciences.

Yoshinori Uesaka, 1991 .

A theory of learnability

Kazuhiko Ozeki, Teruaki Aizawa, Yoshinori Uesaka, 2004, Kybernetik.

A CAI Program Using Hierarchies of Mathematical Notions in the Learning of Mathematics

Yoshinori Uesaka, Munemi Asai, Yoshinori Uesaka, 1987 .

Convergence of Algorithm and the Schema Theorem in Genetic Algorithms

Yoshinori Uesaka, 1995, ICANNGA.

Mathematical structures derived from the q-product uniquely determined by tsallis entropy

Yoshinori Uesaka, Hiroki Suyari, Makoto Tsukada, 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

Analog Perceptron: Its Decomposition and Order

Yoshinori Uesaka, 1975, Inf. Control..

Spectral Analysis of Form Based on Fourier Descriptors

Yoshinori Uesaka, 1986 .

Vector Quantization by Neuro-Dynamical System

Yoshinori Uesaka, 1993 .

Construction of a Complex-Valued Nonlinear Discriminant Function for Pattern Recognition

Yoshinori Uesaka, 1971, IEEE Trans. Syst. Man Cybern..

On the Potentiality and Key Problems of Neural Network Learning

Yoshinori Uesaka, 1991 .

Foundations of real-world intelligence

Yoshinori Uesaka, Pentti Kanerva, Hideki Asoh, 2001 .

A new fourier descriptor applicable to open curves

Yoshinori Uesaka, 1984 .