3449 search results - page 180 / 690 » A Framework for Multiple-Instance Learning |
225
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ATAL
2006
Springer
15 years 6 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...
132
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CSL
2008
Springer
15 years 2 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
127
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TKDE
2010
15 years 29 days ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
160
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ML
2010
ACM
14 years 9 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
108
Voted
PGLDB
2003
15 years 4 months ago
2003
This paper describes an on-going effort to investigate problems and approaches for achieving Web-service-based, dynamic and collaborative e-learning. In this work, a Learning Cont...