4930 search results - page 246 / 986 » Learning minimal abstractions |
182
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
173
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
224
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JCSS
2008
15 years 6 months ago
2008
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
178
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SIGIR
2008
ACM
15 years 6 months ago
2008
ACM
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
155
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AIRS
2010
Springer
15 years 4 months ago
2010
Springer
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...