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» Prediction and Adaptation in Active Harmony
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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
14 years 9 days ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
EUSAI
2004
Springer
14 years 2 months ago
Confidence Estimation of the State Predictor Method
Pervasive resp. ubiquitous systems use context information to adapt appliance behavior to human needs. Even more convenience is reached if the appliance foresees the user's de...
Jan Petzold, Faruk Bagci, Wolfgang Trumler, Theo U...
IJCNN
2008
IEEE
14 years 5 months ago
Adaptive curiosity for emotions detection in speech
— Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robo...
Alexis Bondu, Vincent Lemaire
AAAI
2008
14 years 1 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
ESANN
2008
14 years 9 days ago
Computational model for amygdala neural networks
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
Jean Marc Salotti