2665 search results - page 310 / 533 » Bundle Methods for Machine Learning |
121
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MLDM
2007
Springer
15 years 8 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
113
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ML
1998
ACM
15 years 1 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
123
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ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
134
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APIN
2002
15 years 2 months ago
2002
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
112
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ESANN
2007
15 years 3 months ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...