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UAI
1998
14 years 11 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
CSDA
2006
117views more  CSDA 2006»
14 years 10 months ago
Exact maximum likelihood estimation of structured or unit root multivariate time series models
TheexactlikelihoodfunctionofaGaussianvectorautoregressive-movingaverage(VARMA)model is evaluated in two nonstandard cases: (a) a parsimonious structured form, such as obtained in ...
Guy Mélard, Roch Roy, Abdessamad Saidi
IJRR
2006
120views more  IJRR 2006»
14 years 9 months ago
Vibration Estimation of Flexible Space Structures using Range Imaging Sensors
Future space applications will require robotic systems to assemble, inspect, and maintain large space structures in orbit. For effective planning and control, robots will need to ...
Matthew D. Lichter, Hiroshi Ueno, Steven Dubowsky
ICASSP
2011
IEEE
14 years 1 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu
ICML
2009
IEEE
15 years 10 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji