8970 search results - page 138 / 1794 » Learning to Learn Causal Models |
146
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ATAL
2005
Springer
15 years 10 months ago
2005
Springer
One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds...
137
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GIS
2009
ACM
15 years 9 months ago
2009
ACM
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
243
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ATAL
2006
Springer
15 years 8 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
162
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ENC
2004
IEEE
15 years 8 months ago
2004
IEEE
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...
126
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ALT
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...