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100
Voted
NIPS
2003
15 years 1 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
101
Voted
NIPS
1998
15 years 1 months ago
1998
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
CORR
2008
Springer
15 years 20 days ago
2008
Springer
This paper presents new lower and upper bounds for the optimal compression of binary prefix codes in terms of the most probable input symbol, where compression efficiency is determ...
65
Voted
CORR
2007
Springer
15 years 16 days ago
2007
Springer
We propose an information–theoretic approach to the watermark embedding and detection under limited detector resources. First, we present asymptotically optimal decision regions...
103
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CORR
2011
Springer
14 years 7 months ago
2011
Springer
Randomness extraction is the process of constructing a source of randomness of high quality from one or several sources of randomness of lower quality. The problem can be modeled ...