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194
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ESORICS
2004
Springer
16 years 4 days ago
2004
Springer
We present and analyze portable access control mechanisms for large data repositories, in that the customized access policies are stored on a portable device (e.g., a smart card). ...
181
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NIPS
2008
15 years 8 months ago
2008
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
195
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KDD
2010
ACM
15 years 5 months ago
2010
ACM
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
180
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ISAAC
2009
Springer
16 years 1 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
166
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...