2103 search results - page 58 / 421 » Approximate Learning of Dynamic Models |
144
Voted
JMLR
2010
14 years 9 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
123
Voted
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
130
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PERVASIVE
2011
Springer
14 years 5 months ago
2011
Springer
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
143
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
132
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ROBOCUP
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...