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HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
15 years 3 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
FLAIRS
2006
14 years 11 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
CORR
2006
Springer
112views Education» more  CORR 2006»
14 years 9 months ago
Joint universal lossy coding and identification of i.i.d. vector sources
The problem of joint universal source coding and modeling, addressed by Rissanen in the context of lossless codes, is generalized to fixed-rate lossy coding of continuousalphabet m...
Maxim Raginsky
AUTOMATICA
2005
77views more  AUTOMATICA 2005»
14 years 9 months ago
Analysis of the variability of joint input-output estimation methods
It has been recently established that, when estimating parametric models on the basis of closed loop data, the frequency domain variability of direct and various indirect methods ...
Brett Ninness, Håkan Hjalmarsson
CORR
2000
Springer
115views Education» more  CORR 2000»
14 years 9 months ago
Exploiting Diversity in Natural Language Processing: Combining Parsers
Three state-of-the-art statistical parsers are combined to produce more accurate parses, as well as new bounds on achievable Treebank parsing accuracy. Two general approaches are ...
John C. Henderson, Eric Brill