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151
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
127
Voted
IPSN
2010
Springer
15 years 10 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
120
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
138
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SIGIR
2009
ACM
15 years 10 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
131
Voted
COLT
2007
Springer
15 years 9 months ago
2007
Springer
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...