410 search results - page 20 / 82 » MILIS: Multiple Instance Learning with Instance Selection |
127
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ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
130
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EMNLP
2011
14 years 1 months ago
2011
Class-instance label propagation algorithms have been successfully used to fuse information from multiple sources in order to enrich a set of unlabeled instances with class labels...
129
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
109
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AAAI
2007
15 years 4 months ago
2007
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
123
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ATAL
2005
Springer
15 years 7 months ago
2005
Springer
A key limitation of current Web services standards is the inability to differentiate service instances at runtime using (nonfunctional) qualities of services (QoS). Such differe...