7978 search results - page 849 / 1596 » Combining shared-coin algorithms |
182
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NIPS
2007
15 years 9 months ago
2007
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
208
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SDM
2007
SIAM
15 years 9 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
251
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SDM
2007
SIAM
15 years 9 months ago
2007
SIAM
Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
235
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SIROCCO
2007
15 years 9 months ago
2007
In a sensor network the sensors, or nodes, obtain data and have to communicate these data to a central node. Because sensors are battery powered they are highly energy constrained....
243
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NIPS
2004
15 years 9 months ago
2004
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...