1989 search results - page 112 / 398 » Learning to Select Useful Landmarks |
202
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CIKM
2010
Springer
15 years 3 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
163
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IJAMCIGI
2010
15 years 3 months ago
2010
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
193
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COLING
2010
15 years 1 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
147
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ICALT
2008
IEEE
16 years 23 days ago
2008
IEEE
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
164
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AI
1999
Springer
15 years 6 months ago
1999
Springer
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...