The Variational Bayes Method in Signal Processing
This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It rev...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
|
Σειρά: | Signals and Communication Technology
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Bayesian Theory
- Off-line Distributional Approximations and the Variational Bayes Method
- Principal Component Analysis and Matrix Decompositions
- Functional Analysis of Medical Image Sequences
- On-line Inference of Time-Invariant Parameters
- On-line Inference of Time-Variant Parameters
- The Mixture-based Extension of the AR Model (MEAR)
- Concluding Remarks.