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» Using Prior Knowledge: Problems and Solutions
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ICML
2008
IEEE
16 years 4 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
WORM
2004
15 years 4 months ago
The top speed of flash worms
Flash worms follow a precomputed spread tree using prior knowledge of all systems vulnerable to the worm's exploit. In previous work we suggested that a flash worm could satu...
Stuart Staniford, David Moore, Vern Paxson, Nichol...
TIP
2008
69views more  TIP 2008»
15 years 3 months ago
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Johnathan M. Bardsley
ICASSP
2011
IEEE
14 years 7 months ago
Detection of geometrically known targets in Through-the-Wall radar imaging
We consider the problem of detecting targets behind walls using radar imaging technology. An image-domain based detection technique is proposed that allows to adapt to specific t...
Christian Debes, Abdelhak M. Zoubir, Moeness G. Am...
AIA
2007
15 years 4 months ago
Adaptive preference elicitation for top-K recommendation tasks using GAI-networks
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
Sérgio R. de M. Queiroz