3449 search results - page 360 / 690 » A Framework for Multiple-Instance Learning |
149
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
151
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CRV
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
128
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ECTEL
2007
Springer
15 years 11 months ago
2007
Springer
The changing nature of e-Learning, the Web, and its users that can be observed in the last years results in a need for new approaches and technologies to fully exploit the existing...
145
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EUROCAST
2007
Springer
15 years 11 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
132
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AGENTS
1999
Springer
15 years 9 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...