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» Adapting RBF Neural Networks to Multi-Instance Learning
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IADIS
2003
13 years 9 months ago
Adaptive Web Service for QOS Improvement
In this paper we investigate how “self-awareness'', through on-line self-monitoring and measurement, coupled with intelligent adaptive behaviour in response to observe...
Erol Gelenbe, Arturo Núñez
ISCAS
2006
IEEE
119views Hardware» more  ISCAS 2006»
14 years 1 months ago
Using self-organizing maps to control physical robots with omnidirectional drives
— In many application areas, robots most suitably employ classical PID controllers and the like. In the field of autonomous mobile robots, however, further adaptation features a...
Ralf Salomon, Hagen Burchardt, T. Schulz
MVA
1996
167views Computer Vision» more  MVA 1996»
13 years 9 months ago
Applying a Dynamic Recognition Scheme for Vehicle Recognition in Many Object Traffic Scenes
An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive ...
Wlodzimierz Kasprzak, Heinrich Niemann
IEEEIAS
2008
IEEE
14 years 2 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard