Multi-class Gaussian process classiﬁcation of single-trial MEG based on frequency speciﬁc latent features extracted with linear binary classiﬁers Pasi Jylänki, Jaakko Riihimäki, Aki Vehtari - Frequency estimation - Document - PDFSEARCH.IO

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	Multi-class Gaussian process classiﬁcation of single-trial MEG based on frequency speciﬁc latent features extracted with linear binary classiﬁers Pasi Jylänki, Jaakko Riihimäki, Aki Vehtari Add to Reading List Document Date: 2012-01-05 06:58:38 Open Document File Size: 77,09 KB Share Result on Facebook Company MIT Press / / Facility Aalto University / / Organization MIT / Aalto University / / Person Aki Vehtari / / Position Bishop / / PublishedMedium Machine Learning / / Technology Machine Learning / / URL http / SocialTag Statistical classification Statistics Bayesian statistics Estimation theory

Multi-class Gaussian process classiﬁcation of single-trial MEG based on frequency speciﬁc latent features extracted with linear binary classiﬁers Pasi Jylänki, Jaakko Riihimäki, Aki VehtariAdd to Reading List