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- W9670404 abstract "The interactions among a family of probability distributions can be studied under Information Geometry. With Bayesian decision theory, these interactions lead to the concept of estimates. In this paper the concept of differential feedback is added to Information geometry. Here the probability distribution is mapped on to the hyperplanes with ideal estimates on the Eigenplane." @default.
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- W9670404 date "2003-12-07" @default.
- W9670404 modified "2023-10-16" @default.
- W9670404 title "Differentially fed neural networks as ideal estimators in Bayesian space" @default.
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