3076 search results - page 224 / 616 » Active Learning for Networked Data |
151
Voted
SOCIALCOM
2010
15 years 2 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
143
click to vote
ICONIP
1998
15 years 6 months ago
1998
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
165
Voted
TSMC
2008
15 years 3 months ago
2008
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
203
Voted
CORR
2011
Springer
15 years 1 hour ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
172
Voted
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Push message delivery, where a client maintains an "always-on" connection with a server in order to be notified of a (asynchronous) message arrival in real-time, is incre...