The complexity of model classes, and smoothing noisy data
โ Scribed by Peter L Bartlett; Sanjeev R Kulkarni
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 118 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0167-6911
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We study the complexity of second-order indefinite elliptic problems -div(aโu) + bu = f (with homogeneous Dirichlet boundary conditions) over a d-dimensional domain , the error being measured in the H 1 ( )-norm. The problem elements f belong to the unit ball of W r, p ( ), where p โ [2, โ] and r >
Several properties of complexity classes and sets associated with them are studied. An open problem, the enumerability of complexity classes, is settled by exhibition of a measure with some nonenumerable classes. Classes for natural measures are found to occupy the same isomorphism type; and a crite
## Abstract Though forecasting of river flow has received a great deal of attention from engineers and researchers throughout the world, this still continues to be a challenging task owing to the complexity of the process. In the last decade or so, artificial neural networks (ANNs) have been widely