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» Graph-Based Concept Learning
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115
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EPIA
2003
Springer
15 years 7 months ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
136
Voted
ECML
1997
Springer
15 years 6 months ago
Constructing Intermediate Concepts by Decomposition of Real Functions
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Brat...
112
Voted
AAAI
2006
15 years 4 months ago
Boosting Expert Ensembles for Rapid Concept Recall
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
Achim Rettinger, Martin Zinkevich, Michael H. Bowl...
IAT
2006
IEEE
15 years 8 months ago
Learning Non-Unanimous Ontology Concepts to Communicate with Groups of Agents
We present an extension to the definition of a concept in an ontology that allows an agent to simultaneously communicate with a group of agents that might have different understa...
Mohsen Afsharchi, Behrouz H. Far, Jörg Denzin...
CVPR
2009
IEEE
16 years 9 months ago
Domain Transfer SVM for Video Concept Detection
Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...