Asymptotically optimal choice of varepsilon-loss for support vector machines.

Smola, AJ; Murata N, Schölkopf, B; Müller, K-R; Niklasson, L.; Boden, M.; Ziemke, T.

Item

ITEM ACTIONSEXPORT

Add to Basket

Please note that a newer version of this item is available:
https://pure.mpg.de/pubman/item/item_1794060_2

DetailsSummary

Released

Conference Paper

Asymptotically optimal choice of varepsilon-loss for support vector machines.

MPS-Authors

/persons/resource/persons84193

Murata N, Schölkopf, B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Smola, A., Murata N, Schölkopf, B., & Müller, K.-R. (1998). Asymptotically optimal choice of varepsilon-loss for support vector machines. In 8th International Conference on Artificial Neural Networks (pp. 105-110).

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-E94A-6

Abstract

There is no abstract available