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AUTOMATICA
2010
96views more  AUTOMATICA 2010»
15 years 6 months ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead
CSDA
2006
98views more  CSDA 2006»
15 years 6 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 6 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
SIGPRO
2008
90views more  SIGPRO 2008»
15 years 6 months ago
Some aspects of DOA estimation using a network of blind sensors
Recently, the DOA (Direction Of Arrival) estimation of an acoustic wavefront has been considered in a setting where the inference task is performed by a Wireless Sensor Network (W...
Marco Guerriero, Stefano Maranò, Vincenzo M...
ACL
1998
15 years 7 months ago
An Estimate of Referent of Noun Phrases in Japanese Sentences
In machine translation and man-machine dialogue, it is important to clarify referents of noun phrases. We present a method for determining the referents of noun phrases in Japanes...
Masaki Murata, Makoto Nagao