1950 search results - page 112 / 390 » Informative sampling for large unbalanced data sets |
168
Voted
JCDL
2011
ACM
14 years 6 months ago
2011
ACM
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
213
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
131
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CPM
1999
Springer
15 years 7 months ago
1999
Springer
We present a very efficient, in terms of space and access speed, data structure for storing huge natural language data sets. The structure is described as LZ (Ziv Lempel) compresse...
142
Voted
PADL
2000
Springer
15 years 7 months ago
2000
Springer
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
120
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AAAI
2010
15 years 3 months ago
2010
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...