Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief

2010/11/11 by Pamela K. Douglas, P.K. Douglas, Sam Harris +2 · 1 citation
Computer Science · Neuroscience · #AdaBoost #Artificial intelligence #Classifier (UML) #Computer science #Dimensionality reduction #EEG and Brain-Computer Interfaces #Machine learning #Naive Bayes classifier #Neural Networks and Applications #Neural dynamics and brain function #Pattern recognition (psychology) #Random forest #Support vector machine

paper · doi:10.1016/j.neuroimage.2010.11.002

openalex publication_date 2010/11/11 · crossref created 2010/11/11 · crossref issued 2011/05/01 · crossref published 2011/05/01 · crossref published-print 2011/05/01 · crossref deposited 2018/12/06 · openalex created_date 2025/10/10 · crossref indexed 2026/06/26 · openalex updated_date 2026/08/01

Citations

• Functional neuroimaging of belief, disbelief, and uncertainty
• Wrappers for feature subset selection
• A Tutorial on Support Vector Machines for Pattern Recognition
• A new look at the statistical model identification
• Resultados del tratamiento de niños diagnosticados de linfomas no Hodgkin y leucemias linfoblásticas agudas de células B tratados con protocolos BFM. Informe del GOPM
• Rapid object detection using a boosted cascade of simple features
• Bagging predictors
• The Nature of Statistical Learning Theory
• Support-vector networks

Cited by

• Sam Harris [wikipedia]