Sequential Optimal Recovery: A Paradigm for Active Learning
In most classical frameworks for learning from examples, it is assumed that examples are randomly drawn and presented to the learner. In this paper, we consider the possibility of a more active learner who is allowed to choose his/her own examples. Our investigations are carried out in a funct...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/7200 |