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» How to process uncertainty in machine learning
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ICALT
2006
IEEE
14 years 2 months ago
Trace Analysis in Instrumented Collaborative Learning Environments
Observation activity, on instrumented collective learning situations, enables participants to appropriate themselves corresponding systems in their own practice. In this paper, we...
Christophe Courtin, Stephane Talbot
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
14 years 2 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
COLT
2006
Springer
14 years 16 days ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola
ICML
2005
IEEE
14 years 9 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
ICALT
2007
IEEE
14 years 3 months ago
Managing Personalized and Adapted Medical Learning Objects
Medical learning objects deviates from traditional notion of learning object in that it is always in a digital form and relates to medication. They may include text, images, sound...
Juha Puustjärvi, Leena Puustjärvi