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135
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
130
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
135
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Traditional workload management methods mainly focus on the current system status while information about the interaction between queued and running transactions is largely ignore...
146
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
153
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COMPGEOM
2005
ACM
15 years 6 months ago
2005
ACM
We introduce a new type of diagram called the VV(c)-diagram (the visibility–Voronoi diagram for clearance c), which is a hybrid between the visibility graph and the Voronoi diag...