Regularization Theory and Neural Networks Architectures
- 1 March 1995
- journal article
- Published by MIT Press in Neural Computation
- Vol. 7 (2), 219-269
- https://doi.org/10.1162/neco.1995.7.2.219
Abstract
No abstract availableKeywords
This publication has 72 references indexed in Scilit:
- Approximation properties of a multilayered feedforward artificial neural networkAdvances in Computational Mathematics, 1993
- Multivariate cardinal interpolation with radial-basis functionsConstructive Approximation, 1990
- Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappingsNeural Networks, 1990
- Fast Learning in Networks of Locally-Tuned Processing UnitsNeural Computation, 1989
- What Size Net Gives Valid Generalization?Neural Computation, 1989
- On the approximate realization of continuous mappings by neural networksNeural Networks, 1989
- Interpolation of scattered data: Distance matrices and conditionally positive definite functionsConstructive Approximation, 1986
- A Comparison of GCV and GML for Choosing the Smoothing Parameter in the Generalized Spline Smoothing ProblemThe Annals of Statistics, 1985
- Distribution-Free Consistency Results in Nonparametric Discrimination and Regression Function EstimationThe Annals of Statistics, 1980
- Interpolation using surface splines.Journal of Aircraft, 1972