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NECO
2002
104views more  NECO 2002»
15 years 4 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
SOFTWARE
2002
15 years 4 months ago
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
Telecommunication systems are built with extensive redundancy and complexity to ensure robustness and quality of service. Such systems requires complex fault identification and man...
Roy Sterritt
125
Voted
ICPR
2010
IEEE
15 years 3 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
JAIR
2010
119views more  JAIR 2010»
15 years 3 months ago
Active Tuples-based Scheme for Bounding Posterior Beliefs
The paper presents a scheme for computing lower and upper bounds on the posterior marginals in Bayesian networks with discrete variables. Its power lies in its ability to use any ...
Bozhena Bidyuk, Rina Dechter, Emma Rollon
143
Voted
GAMESEC
2010
119views Game Theory» more  GAMESEC 2010»
15 years 2 months ago
Uncertainty in Interdependent Security Games
Abstract. Even the most well-motivated models of information security have application limitations due to the inherent uncertainties involving risk. This paper exemplifies a formal...
Benjamin Johnson, Jens Grossklags, Nicolas Christi...