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AUSAI
2008
Springer
15 years 6 months ago
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
James R. Foulds, Eibe Frank
AAAI
2010
15 years 5 months ago
Activity and Gait Recognition with Time-Delay Embeddings
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Jordan Frank, Shie Mannor, Doina Precup
CEC
2009
IEEE
15 years 11 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham
ATAL
2007
Springer
15 years 10 months ago
Embedding Landmarks and Scenes in a Computational Model of Institutions
Over the last decade, institutions have demonstrated that they are a powerful mechanism to make agent interactions more effective, structured, coordinated and efficient. Different...
Owen Cliffe, Marina De Vos, Julian A. Padget
GPCE
2007
Springer
15 years 10 months ago
Generative programming techniques for Java library migration
Embedded systems can be viewed as scaled-down versions of their one counterparts. In many cases, the software abstractions and libraries for embedded systems can be derived from l...
Victor L. Winter, Azamatbek Mametjanov