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ICML
2008
IEEE
14 years 9 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
LREC
2008
78views Education» more  LREC 2008»
13 years 10 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn
ADMI
2009
Springer
14 years 3 months ago
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
Murat Sensoy, Pinar Yolum
AH
2004
Springer
14 years 2 months ago
Developing Active Learning Experiences for Adaptive Personalised eLearning
Developing adaptive, rich-media, eLearning courses tends to be a complex, highly-expensive and time-consuming task. A typical adaptive eLearning course will involve a multi-skilled...
Declan Dagger, Vincent P. Wade, Owen Conlan
PRL
2008
97views more  PRL 2008»
13 years 8 months ago
Repairing self-confident active-transductive learners using systematic exploration
We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
Ron Begleiter, Ran El-Yaniv, Dmitry Pechyony