18451 search results - page 287 / 3691 » Selecting a Selection Procedure |
171
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AAAI
2000
15 years 7 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
211
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IJCAI
1989
15 years 7 months ago
1989
A macro-operator is an integrated operator consisting of plural primitive operators and enables a problem solver to solve more efficiently. However, if a learning system generates...
162
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Rigorous runtime analyses of evolutionary algorithms (EAs) mainly investigate algorithms that use elitist selection methods. Two algorithms commonly studied are Randomized Local S...
191
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SIGCOMM
2010
ACM
15 years 6 months ago
2010
ACM
Geo-replicated services need an effective way to direct client requests to a particular location, based on performance, load, and cost. This paper presents DONAR, a distributed sy...
161
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APIN
2008
15 years 6 months ago
2008
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...