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Home > Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions > Statistical Learning for Resting-State fMRI: Successes and Challenges
Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions |
Georg Langs; Irina Rish; Moritz Grosse-Wentrup; Brian Murphy
Springer Berlin Heidelberg
Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
Statistical Learning for Resting-State fMRI: Successes and Challenges
Authors

Gaël Varoquaux; Bertrand Thirion

ARI Id

1664705431801_2822429

Access

Not Available Free

Pages

172-177

DOI

10.1007/978-3-642-34713-9_22

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-34713-9_22

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