8970 search results - page 205 / 1794 » Learning to Learn Causal Models |
161
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
192
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AMS
2007
Springer
16 years 22 days ago
2007
Springer
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
165
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PAKDD
2005
ACM
16 years 1 days ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
158
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ICANN
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
139
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DEXAW
2004
IEEE
15 years 10 months ago
2004
IEEE
In distance learning for computer literacy, a student's skill is dependent on personal experience. In such cases, it is important to determine the student's understandin...