@inproceedings{e62d61f7b58e4f408d30cff5a24fc906,
title = "Collapsed variational Bayesian inference of the author-topic model: Application to large-scale coordinate-based meta-analysis",
abstract = "The author-topic (AT) model has been recently used to discover the relationships between brain regions, cognitive components and behavioral tasks in the human brain. In this work, we propose a novel Collapsed Variational Bayesian (CVB) inference algorithm for the AT model. The proposed algorithm is compared with the Expectation-Maximization (EM) algorithm on the large-scale BrainMap database of brain activation coordinates and behavioral tasks. Experiments suggest that the proposed CVB algorithm produces parameter estimates with better generalization power than the EM algorithm.",
author = "Ngo, {Gia H.} and Eickhoff, {Simon B.} and Fox, {Peter T.} and Yeo, {B. T.Thomas}",
note = "Funding Information: This work was supported by NUS Tier 1, Singapore MOE Tier 2 (MOE2014-T2-2-016), NUS Strategic Research (DPRT/944/09/14), NUS SOM Aspiration Fund (R185000271720), Singapore NMRC (CBRG14nov007, NMRC/CG/013/2013) Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016 ; Conference date: 22-06-2016 Through 24-06-2016",
year = "2016",
month = aug,
day = "24",
doi = "10.1109/PRNI.2016.7552332",
language = "English (US)",
series = "PRNI 2016 - 6th International Workshop on Pattern Recognition in Neuroimaging",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "PRNI 2016 - 6th International Workshop on Pattern Recognition in Neuroimaging",
address = "United States",
}