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103
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TKDE
2012
226views Formal Methods» more  TKDE 2012»
12 years 12 months ago
DDD: A New Ensemble Approach for Dealing with Concept Drift
—Online learning algorithms often have to operate in the presence of concept drifts. A recent study revealed that different diversity levels in an ensemble of learning machines a...
Leandro L. Minku, Xin Yao
IJCAI
2007
14 years 11 months ago
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Yi Zhang 0010, Xiaoming Jin
ICAART
2009
INSTICC
14 years 7 months ago
Concepts in Action: Performance Study of Agents Learning Ontology Concepts from Peer Agents
Leila Safari, Mohsen Afsharchi, Behrouz Homayoun F...
116
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ICTAI
2003
IEEE
15 years 2 months ago
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Marc Ricordeau