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KDD
2004
ACM
15 years 10 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
SODA
2010
ACM
15 years 7 months ago
2010
ACM
We propose a simple distributed algorithm for balancing indivisible tokens on graphs. The algorithm is completely deterministic, though it tries to imitate (and enhance) a random ...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
BMCBI
2007
14 years 10 months ago
2007
Background: The Sulston score is a well-established, though approximate metric for probabilistically evaluating postulated clone overlaps in DNA fingerprint mapping. It is known t...
ACSAC
2007
IEEE
15 years 4 months ago
2007
IEEE
Integrity measurements provide a means by which distributed systems can assess the trustability of potentially compromised remote hosts. However, current measurement techniques si...