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» Learning network structure from passive measurements
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CONEXT
2010
ACM
13 years 5 months ago
NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems
Traditional DSL troubleshooting solutions are reactive, relying mainly on customers to report problems, and tend to be labor-intensive, time consuming, prone to incorrect resoluti...
Yu Jin, Nick G. Duffield, Alexandre Gerber, Patric...
ICASSP
2008
IEEE
14 years 2 months ago
Bayesian update of dialogue state for robust dialogue systems
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
Blaise Thomson, Jost Schatzmann, Steve Young
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 8 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
IMC
2006
ACM
14 years 1 months ago
Unexpected means of protocol inference
Network managers are inevitably called upon to associate network traffic with particular applications. Indeed, this operation is critical for a wide range of management functions...
Justin Ma, Kirill Levchenko, Christian Kreibich, S...
GCB
2004
Springer
101views Biometrics» more  GCB 2004»
14 years 1 months ago
Kleene's Theorem and the Solution of Metabolic Carbon Labeling Systems
: Carbon Labeling Systems (CLS) are large equation systems that describe the dynamics of labeled carbon atoms in a metabolic network. The rapid solution of these systems is the alg...
Nicole Isermann, Michael Weitzel, Wolfgang Wiecher...