The equivalence of support vector machine and regularization neural networks

Neural Processing Letters

Volumn 15, Issue 2, 2002, Pages 97-104

  András, Péter ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Approximation; Equivalent neural networks; Regularization; Support vector machine

Indexed keywords

APPROXIMATION THEORY; EQUIVALENCE CLASSES; OPTIMIZATION; PROBLEM SOLVING; THEOREM PROVING;

REGULARIZATION NEURAL NETWORKS; SUPPORT VECTOR MACHINE;

NEURAL NETWORKS;

EID: 0036530235     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015292818897     Document Type: Article

References (13)

1. Bayesian back-propagation
2. A tutorial on support vector machines for pattern recognition
3. Support vector machines for spam categorization
4. Aspects of numerical analysis of neural networks
5. An equivalence between sparse approximation and support vector machines
6. Simple and robust methods for support vector machine expansions
7. Networks for approximation and learning
8. The connection between regularization operators and support vector kernels
9. An overview of statistical learning theory
10. Bayesian regularization and pruning using a Laplace prior