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» Estimation of Chaotic Probabilities
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NECO
2002
104views more  NECO 2002»
13 years 8 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
DATE
2007
IEEE
89views Hardware» more  DATE 2007»
14 years 3 months ago
Computing synchronizer failure probabilities
— System-on-Chip designs often have a large number of timing domains. Communication between these domains requires synchronization, and the failure probabilities of these synchro...
Suwen Yang, Mark R. Greenstreet
ICST
2010
IEEE
13 years 7 months ago
Generating Transition Probabilities for Automatic Model-Based Test Generation
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
Abderrahmane Feliachi, Hélène Le Gue...
ILP
2000
Springer
14 years 10 days ago
Decomposing Probability Distributions on Structured Individuals
Naive Bayesian classifiers have been very successful in attribute-value representations. However, it is not clear how the decomposition of the probability distributions on attribu...
Peter A. Flach, Nicolas Lachiche
AAAI
1990
13 years 10 months ago
Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction
This paper presents a projection algorithm for incremental control rule synthesis. The algorithm synthesizes an initial set of goal-achieving control rules using a combination of ...
Mark Drummond, John L. Bresina