Machine Learning and Interpretation in Neuroimaging Book Reviews

AUTHOR
Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang & Brian Murphy
SCORE
0
TOTAL RATINGS
168

Machine Learning and Interpretation in Neuroimaging by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang & Brian Murphy Book Summary

This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014.

The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series. In addition, the book contains the 3 best papers presented at MLINI 2013.

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Book Name Machine Learning and Interpretation in Neuroimaging
Genre Computers & Internet
Published
Language English
E-Book Size 2.51 MB

Machine Learning and Interpretation in Neuroimaging (Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang & Brian Murphy) Book Reviews 2024

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Summary of Machine Learning and Interpretation in Neuroimaging by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang & Brian Murphy

The Machine Learning and Interpretation in Neuroimaging book written by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang & Brian Murphy was published on 12 September 2016, Monday in the Computers & Internet category. A total of 168 readers of the book gave the book 0 points out of 5.

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