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» An LFT approach to parameter estimation
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HIS
2003
13 years 9 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
ICML
2008
IEEE
14 years 8 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
CDC
2008
IEEE
133views Control Systems» more  CDC 2008»
13 years 7 months ago
A nonlinear least squares estimation procedure without initial parameter guesses
Abstract-- This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feat...
Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor...
ICIAR
2004
Springer
14 years 29 days ago
Real-Time Facial Feature Extraction by Cascaded Parameter Prediction and Image Optimization
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Fei Zuo, Peter H. N. de With
JUCS
2007
92views more  JUCS 2007»
13 years 7 months ago
Parameter Estimation of Systems Described by the Relation with Noisy Observations
: In this paper the problem of parameter estimation of an input – output system is discussed. It is assumed that the system is described by the relation known with accuracy to so...
Jerzy Swiatek