رکورد قبلیرکورد بعدی

" Neural network learning : "


Document Type : BL
Record Number : 994015
Doc. No : b748385
Main Entry : Anthony, Martin.
Title & Author : Neural network learning : : theoretical foundations /\ Martin Anthony and Peter L. Bartlett.
Publication Statement : Cambridge ;New York, NY :: Cambridge University Press,, 1999.
Page. NO : xiv, 389 pages :: illustrations ;; 24 cm
ISBN : 052111862X
: : 052157353X
: : 9780521118620
: : 9780521573535
Bibliographies/Indexes : Includes bibliographical references (pages 365-378) and indexes.
Contents : 1. Introduction -- pt. 1. Pattern Classification with Binary-Output Neural Networks -- 2. The Pattern Classification Problem -- 3. The Growth Function and VC-Dimension -- 4. General Upper Bounds on Sample Complexity -- 5. General Lower Bounds on Sample Complexity -- 6. The VC-Dimension of Linear Threshold Networks -- 7. Bounding the VC-Dimension using Geometric Techniques -- 8. Vapnik-Chervonenkis Dimension Bounds for Neural Networks -- pt. 2. Pattern Classification with Real-Output Networks -- 9. Classification with Real-Valued Functions -- 10. Covering Numbers and Uniform Convergence -- 11. The Pseudo-Dimension and Fat-Shattering Dimension -- 12. Bounding Covering Numbers with Dimensions -- 13. The Sample Complexity of Classification Learning -- 14. The Dimensions of Neural Networks -- 15. Model Selection -- pt. 3. Learning Real-Valued Functions -- 16. Learning Classes of Real Functions -- 17. Uniform Convergence Results for Real Function Classes -- 18. Bounding Covering Numbers -- 19. Sample Complexity of Learning Real Function Classes -- 20. Convex Classes -- 21. Other Learning Problems -- pt. 4. Algorithmics -- 22. Efficient Learning -- 23. Learning as Optimization -- 24. The Boolean Perceptron -- 25. Hardness Results for Feed-Forward Networks -- 26. Constructive Learning Algorithms for Two-Layer Networks.
Subject : Neural networks (Computer science)
Subject : Réseaux neuronaux (Informatique)
Subject : AUTOMATA THEORY.
Subject : KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE)
Subject : MACHINE LEARNING.
Subject : Maschinelles Lernen
Subject : NEURAL NETS.
Subject : Neural networks (Computer science)
Subject : Neural networks (Computer science)
Subject : Neuronales Netz
Subject : Réseaux neuronaux (Informatique)
Subject : Complexiteit.
Subject : Leerprocessen.
Subject : Leertheorieën.
Subject : Neurale netwerken.
Subject : Patroonherkenning.
Dewey Classification : ‭006.3/2‬
LC Classification : ‭QA76.87‬‭.A58 1999‬
NLM classification : ‭54.72‬bcl
: ‭DAT 717f‬stub
: ‭PN 91‬blsrissc
: ‭PN 95‬blsrissc
: ‭ST 285‬rvk
Added Entry : Bartlett, Peter L.,1966-
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