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Statistical and Inductive Inference by Minimum Message Length
The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. MML, which provides a formal specification for the implementation of Occam's Razor, asserts that the ‘best’ explanation of observed data is the shortest. Further, an explanation is acceptable (i.e. the induction is justified) only if the explanation is shorter than the original data. This book gives a sound introduction to the Minimum Message Length Principle and its applications, provides the theoretical arguments for the adoption of the principle, and shows the development of certain approximations that assist its practical applic...
Official Register
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Telephone Directory
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Polymer Drugs in the Clinical Stage
Proceedings of the International Symposium on Polymer Therapeutics - Recent Progress in Clinics and Future Prospects, held July 13-14, 2001, in Nara, Japan. The technology of polymer science has developed considerably during the past half-century, and this volume describes some of the aspects of this technology that will have a great impact in the future. Among these advances, for example, are gene delivery to specific disease sites and carrier polymers that respond to a stimulus or particular environment. Cancer targeted drug delivery is another focused area of this volume because of the important nature of EPR-effect of polymer drugs in tumor. Included are discussions of as many examples a...
Algorithmic Learning Theory
This book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000. The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.
Oklahoma Heroes
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