8970 search results - page 337 / 1794 » Learning to Learn Causal Models |
276
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
176
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ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
185
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AIED
2009
Springer
16 years 1 months ago
2009
Springer
Design of collaborative learning (CL) scenarios is a complex task, but necessary if the goal of the collaboration is learning. Creating well-thought-out CL scenarios requires exper...
173
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IROS
2007
IEEE
16 years 1 months ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
170
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ESANN
2001
15 years 8 months ago
2001
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...