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Titlebook: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems; Proceedings of the T C. Ray Smith,Gary J. Erickson Conference proce

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樓主: McKinley
41#
發(fā)表于 2025-3-28 14:34:29 | 只看該作者
42#
發(fā)表于 2025-3-28 18:56:27 | 只看該作者
43#
發(fā)表于 2025-3-29 01:02:31 | 只看該作者
978-94-010-8257-0D. Reidel Publishing Company, Dordrecht, Holland 1987
44#
發(fā)表于 2025-3-29 03:18:58 | 只看該作者
45#
發(fā)表于 2025-3-29 09:16:54 | 只看該作者
On Entropy Rate,The concept of maximum entropy is reexamined in the context of spectral estimation. Applications include problems involving nonconsecutive correlation constraints and constraints in terms of system responses.
46#
發(fā)表于 2025-3-29 12:20:22 | 只看該作者
47#
發(fā)表于 2025-3-29 16:58:53 | 只看該作者
Prior Knowledge Must be Used, to an initial model m.. Any positive, additive scalar quantity can be identified with a set of proportions, so the entropy formula can be applied equally to probability distributions and to a wide variety of physical phenomena.
48#
發(fā)表于 2025-3-29 23:21:46 | 只看該作者
49#
發(fā)表于 2025-3-30 00:07:45 | 只看該作者
Special-Purpose Algorithms for Linearly Constrained Entropy Maximization,traints. The algorithms are designed to handle equality constraints, in-equality constraints, or interval constraints (that is, pairs of inequalities). Six iterative algorithms are discussed, but for one of them convergence of the process is not yet proven. No experimental results are presented.
50#
發(fā)表于 2025-3-30 07:47:38 | 只看該作者
Application of the Maximum Entropy Principle to Retrieval from Large Data Bases,or, 1983a, b, c], I thought, “Boy, I am really discovering the wheel!” Sitting at this conference for three and a half days, I am now sure that everything I have to say will be well known to many of you, or wrong, or both.
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