عنوان

Neural network learning :

(Number (ISBN

052111862X

(Number (ISBN

052157353X

(Number (ISBN

9780521118620

(Number (ISBN

9780521573535

Number

b748385

Title Proper

Neural network learning :

General Material Designation

[Book]

Other Title Information

theoretical foundations /

First Statement of Responsibility

Martin Anthony and Peter L. Bartlett.

Place of Publication, Distribution, etc.

New York, NY :

Name of Publisher, Distributor, etc.

Cambridge University Press,

Date of Publication, Distribution, etc.

1999.

Specific Material Designation and Extent of Item

xiv, 389 pages :

Other Physical Details

illustrations ;

Dimensions

24 cm

Text of Note

Includes bibliographical references (pages 365-378) and indexes.

Text of Note

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.

0

Neural networks (Computer science)

Réseaux neuronaux (Informatique)

AUTOMATA THEORY.

Complexiteit.

KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE)

Leerprocessen.

Leertheorieën.

MACHINE LEARNING.

Maschinelles Lernen

NEURAL NETS.

Neural networks (Computer science)

Neural networks (Computer science)

Neurale netwerken.

Neuronales Netz

Patroonherkenning.

Réseaux neuronaux (Informatique)

Number

Edition

Class number

Book number

Class number

Class number

Class number

Class number

Class number

System Code

System Code

System Code

System Code

System Code

Anthony, Martin.

Bartlett, Peter L.,1966-

Date of Transaction

20201204082626.0

Electronic name

[Book]

Y