Variational Bayesian least squares : An application to brain-machine interface data Neuroinformatics

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Bibliographic Details
Published inNeural networks Vol. 21; no. 8; pp. 1112 - 1131
Main Authors TING, Jo-Anne, D'SOUZA, Aaron, SCHAAL, Stefan, YAMAMOTO, Kenji, YOSHIOKA, Toshinori, HOFFMAN, Donna, KAKEI, Shinji, SERGIO, Lauren, KALASKA, John, KAWATO, Mitsuo, STRICK, Peter
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Science 2008
Subjects
Applied sciences
Biological and medical sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Computerized, statistical medical data processing and models in biomedicine
Exact sciences and technology
Information, signal and communications theory
Medical management aid. Diagnosis aid
Medical sciences
Miscellaneous
Signal processing
Software
Telecommunications and information theory
Brain
Input output
Feature selection
Variational methods
Statistical learning
Central nervous system
Approximation algorithm
Encephalon
User interface
Least squares method
Variational Bayesian methods
Bayes estimation
Human
Dimensionality reduction
High-dimensional regression
Statistical analysis
Redundancy
Linear regression
Prediction
Man machine dialogue
Replacement
Regression analysis
Linear models
Neurophysiology
Statistical method
EMG prediction
Multidimensional database
Signal processing
Brain-machine interfaces
Bayes methods
Comparative study
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ISSN:0893-6080
1879-2782