A Hierarchical Bayesian Regularizer Comparison for Regularization Problems

Author:

NAKAZAWA Susumu1,TAKEUCHI Ryo1,MATSUMOTO Takashi1

Affiliation:

1. Department of Electrical, Electronics and Computer Engineering, Waseda University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Reference6 articles.

1. [1] Tikhonov, A.N. (1963). Regularization of incorrectly posed problems. Soviet Mathematical Doklady, 4, 1624-1627.

2. [2] Engle, H.W.,and C.W. Groetsch,(eds.) (1987). Inverse and Ill-posed Problems, New York, Academic Press.

3. [3] Shimmi, T., H. Kobayashi, T. Yagi, T. Sawaji, T. Matsumoto and A.A. Abidi (1992). A parallel analog CMOS signal processor for image contrast enhancement, Proceedings of European Solid-State Circuits Conference, Copenhagen.

4. [4] MacKay, D.J.C., and R. Takeuchi (1995). Interpolation models with multiple hyperparameters, Maximum Entropy and Bayesian Methods: Cambridge 1994.

5. [5] Takeuchi, R., D.J.C. MacKay, and T. Matsumoto (1994). Determining optional hyperparameters for standard regularization problems, Proceedings of 1994 International Symposium on Artificial Neural Networks (ISANN'94), Tainan, Taiwan, 419-428.

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