Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects Xuerui Wang, Rebecca Hutchinson, and Tom M. Mitchell Center for Automated Learning and Discovery Carnegie Mellon University - Tom M. Mitchell - Document - PDFSEARCH.IO

First Page	Meta Content
	Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects Xuerui Wang, Rebecca Hutchinson, and Tom M. Mitchell Center for Automated Learning and Discovery Carnegie Mellon University Add to Reading List Document Date: 2005-02-05 01:47:12 Open Document File Size: 211,69 KB Share Result on Facebook City Orlando / Thieme / Whistler / Reading / Freiburg / / Company Dynamic Bayesian Networks / McGraw-Hill / / Country Germany / Canada / / / Facility Discovery Carnegie Mellon University / / IndustryTerm transformation software / clinical applications / brain imaging / external devices / human cognitive processing / fMRI technology / / Organization American Medical Informatics Association / Psychonomic Society / Carnegie Mellon University / Tom M. Mitchell Center for Automated Learning / / Person Radu S. Niculescu / Francisco Pereira / Timothy Keller / Erika Laing / Marcel Just / Joel Welling / Vladimir Cherkassky / Rebecca Hutchinson / / Position class-conditional Gaussian generative model for each feature / Carpenter / / ProvinceOrState Florida / British Columbia / New York / / PublishedMedium Machine Learning / Magnetic Resonance Imaging / / Technology fMRI technology / Magnetic Resonance Imaging / data Mining / machine learning / / SocialTag Neuroimaging Machine learning Parts of speech Cognitive science Functional magnetic resonance imaging Jean Talairach Support vector machine Classifier Naive Bayes classifier Statistics

Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects Xuerui Wang, Rebecca Hutchinson, and Tom M. Mitchell Center for Automated Learning and Discovery Carnegie Mellon UniversityAdd to Reading List