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DSOM
2007
Springer
14 years 26 days ago
Probabilistic Fault Diagnosis Using Adaptive Probing
Past research on probing-based network monitoring provides solutions based on preplanned probing which is computationally expensive, is less accurate, and involves a large manageme...
Maitreya Natu, Adarshpal S. Sethi
ADHOCNOW
2004
Springer
14 years 3 days ago
Analysis of the Information Propagation Time Among Mobile Hosts
Consider k particles, 1 red and k −1 white, chasing each other on the nodes of a graph G. If the red one catches one of the white, it “infects” it with its color. The newly ...
Tassos Dimitriou, Sotiris E. Nikoletseas, Paul G. ...
CVPR
2011
IEEE
13 years 3 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
AIME
2007
Springer
14 years 27 days ago
On the Behaviour of Information Measures for Test Selection
In diagnostic decision-support systems, a test-selection facility serves to select tests that are expected to yield the largest decrease in the uncertainty about a patient’s diag...
Danielle Sent, Linda C. van der Gaag
ICONIP
2007
13 years 8 months ago
Diverse Evolutionary Neural Networks Based on Information Theory
There is no consensus on measuring distances between two different neural network architectures. Two folds of methods are used for that purpose: Structural and behavioral distance ...
Kyung-Joong Kim, Sung-Bae Cho