8970 search results - page 205 / 1794 » Learning to Learn Causal Models |
136
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PKDD
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
165
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AMS
2007
Springer
15 years 11 months 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...
134
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PAKDD
2005
ACM
15 years 10 months 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...
133
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ICANN
2003
Springer
15 years 10 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 ...
121
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DEXAW
2004
IEEE
15 years 8 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...