We give an exposition of the ideas of statistical learning theory, followed by a discussion of how a reinterpretation of the insights of learning theory could potentially also benefit our understanding of a certain notion of complexity.
| Author(s): | Schölkopf, B. |
| Journal: | Complexity |
| Volume: | 8 |
| Number (issue): | 4 |
| Pages: | 87-94 |
| Year: | 2003 |
| Month: | July |
| Day: | 0 |
| Bibtex Type: | Article (article) |
| DOI: | 10.1002/cplx.10094 |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| Language: | en |
| Organization: | Max-Planck-Gesellschaft |
| School: | Biologische Kybernetik |
| Links: | |
BibTex
@article{2364,
title = {Statistical Learning Theory, Capacity and Complexity},
journal = {Complexity},
abstract = {We give an exposition of the ideas of statistical learning theory, followed by a discussion of how a reinterpretation of the insights of learning theory could potentially also benefit our understanding of a certain notion of complexity.},
volume = {8},
number = {4},
pages = {87-94},
organization = {Max-Planck-Gesellschaft},
school = {Biologische Kybernetik},
month = jul,
year = {2003},
slug = {2364},
author = {Sch{\"o}lkopf, B.},
month_numeric = {7}
}