8970 search results - page 389 / 1794 » Learning to Learn Causal Models |
192
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AIIA
2007
Springer
16 years 1 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
139
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AIED
2005
Springer
16 years 12 days ago
2005
Springer
Measuring the efficacy of ITS can be hard because there are many confounding factors: short, well-isolated studies suffer from insufficient interaction with the system, while longe...
159
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ALT
2009
Springer
15 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
173
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FPLAY
2008
15 years 8 months ago
2008
Games for learning cannot take the same design approach as games when targeting audiences. While players of entertainment games have the luxury of choosing games that suit them, s...
226
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NIPS
2008
15 years 8 months ago
2008
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...