3411 search results - page 213 / 683 » Adaptive Transfer Learning |
162
click to vote
WEBI
2010
Springer
15 years 2 months ago
2010
Springer
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
137
click to vote
WWW
2005
ACM
16 years 5 months ago
2005
ACM
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
137
click to vote
ESANN
2003
15 years 5 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
126
click to vote
NIPS
1998
15 years 5 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
126
click to vote
NIPS
1993
15 years 5 months ago
1993
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...