๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Active learning with adaptive regularization

โœ Scribed by Zheng Wang; Shuicheng Yan; Changshui Zhang


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
352 KB
Volume
44
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Adaptive neural control with stable lear
โœ S.J. Hepworth; A.L. Dexter ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 697 KB

The paper considers the problem of training on-line a neural network model of non-linear heater battery for implementation in a model-based control scheme. A stable learning scheme is proposed which reduces parameter drift due to process-model mismatch in radial basis function (RBF) networks. A netw

Incremental learning with multi-level ad
โœ Abdelhamid Bouchachia ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 847 KB

Self-adaptation is an inherent part of any natural and intelligent system. Specifically, it is about the ability of a system to reconcile its requirements or goal of existence with the environment it is interacting with, by adopting an optimal behavior. Self-adaptation becomes crucial when the envir

Learning approximately regular languages
โœ Satoshi Kobayashi; Takashi Yokomori ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 490 KB

In this note, we consider the problem of learning approximately regular languages in the limit from positive data using the class of k-reversible languages. The class of k-reversible languages was introduced by Angluin (1982), and proved to be efficiently identifiable in the limit from positive data