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Assessing Generalization of Feed Forward Neural Networks: by Michael J. Turmon

By Turmon, Michael J.

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Book Id: WPLBN0000659819
Format Type: PDF eBook
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Title: Assessing Generalization of Feed Forward Neural Networks: by Michael J. Turmon  
Author: Turmon, Michael J.
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Language: English
Subject: Government publications, National Aeronautics and Space Administration (U.S.), NASA reference publication
Collections: NASA Publication Collection
Historic
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Publisher: National Aeronautics and Space Administration Publication

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J, T. M. (n.d.). Assessing Generalization of Feed Forward Neural Networks. Retrieved from http://ebook.worldlibrary.net/


Excerpt
Description: This document contains information regarding topics such as Empirical Estimates of Generalization, Asymptotic Expansions, and Bounds by the Second-Moment Method...

Table of Contents
Contents ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Vita iii Acknowledgments v Tables ix Figures xi 1 Introduction 1 2 Prior Work 7 3 The Poisson Clumping Heuristic 17 4 Direct Poisson Clumping 23 5 Approximating Clump Size 41 1.1 Terms of the Problem, 2. 1.2 A Criterion For Generalization, 3. 1.3 A Modified Criterion, 4. 1.4 Related Areas of Research, 5. 1.5 Contributions, 5. 1.6 Notation, 6. 2.1 The Vapnik Bound, 7. 2.2 Further Developments, 10. 2.3 Applications to Empirical Processes, 11. 2.4 The Expected Error, 12. 2.5 Empirical Studies, 13. 2.6 Summary, 15. 3.1 The Normal Approximation, 17. 3.2 Using the Poisson Clumping Heuristic, 18. 3.3 Summary, 21. 4.1 Notation and Preliminaries, 23. 4.2 Learning orthants, 25. 4.3 Learning rectangles, 29. 4.4 Learning hyperplanes, 33. 4.5 Learning smooth functions, 34. 4.6 Summary and Conclusions, 39. 5.1 The Mean Bundle Size, 41. 5.2 Harmonic Mean Inequalities, 43. 5.3 Computing Bundle Size, 44. 5.4 Bundle Size Examples, 47. 5.5 The Correlation Volume, 48. 5.6 Summary, 51.

 

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