716 search results - page 83 / 144 » Optimizing Sorting with Machine Learning Algorithms |
120
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JMLR
2002
15 years 1 months ago
2002
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
133
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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...
123
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
104
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
107
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...