890 search results - page 39 / 178 » Large Scale Online Learning |
111
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
151
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
123
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CORR
2000
Springer
15 years 1 months ago
2000
Springer
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
123
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ATAL
2009
Springer
15 years 8 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
128
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ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...