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» Structured parameter estimation for LFG-DOP
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JMLR
2006
169views more  JMLR 2006»
13 years 9 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
CSDA
2006
117views more  CSDA 2006»
13 years 9 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»
13 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
INTERSPEECH
2010
13 years 4 months ago
Speech synthesis by modeling harmonics structure with multiple function
In this paper, we present a new approach for the speech synthesis, in which speech utterances are synthesized using the parameters of spectro-modeling function (Multiple function)...
Toru Nakashika, Ryuki Tachibana, Masafumi Nishimur...
MA
2011
Springer
204views Communications» more  MA 2011»
13 years 4 months ago
Estimating structural VARMA models with uncorrelated but non-independent error terms
The asymptotic properties of the quasi-maximum likelihood estimator (QMLE) of vector autoregressive moving-average (VARMA) models are derived under the assumption that the errors ...
Y. Boubacar Mainassara, Christian Francq