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» Toward Scenario Adaptation for Learning
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CEC
2010
IEEE
13 years 9 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
WETICE
2008
IEEE
14 years 2 months ago
An Architecture for an Adaptive and Collaborative Learning Management System in Aviation Security
The importance of aviation security has increased dramatically in recent years. Frequently changing regulations and the need to adapt quickly to new and emerging threats are chall...
Yi Guo, Adrian Schwaninger, Harald Gall
ICML
1997
IEEE
14 years 9 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
DAGSTUHL
2003
13 years 9 months ago
The Need to Adapt and Its Implications for Embodiment
We present the hypothesis that an important factor for the choice of a particular embodiment for a natural or artificial agent is the effect of the embodiment on the agent’s ab...
Lukas Lichtensteiger
TNN
2008
178views more  TNN 2008»
13 years 8 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen