Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data

@inproceedings{Bzdok2015SemiSupervisedFL,
  title={Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data},
  author={Danilo Bzdok and Michael Eickenberg and Olivier Grisel and Bertrand Thirion and Ga{\"e}l Varoquaux},
  booktitle={NIPS},
  year={2015}
}
Imaging neuroscience links human behavior to aspects of brain biology in everincreasing datasets. Existing neuroimaging methods typically perform either discovery of unknown neural structure or testing of neural structure associated with mental tasks. However, testing hypotheses on the neural correlates underlying larger sets of mental tasks necessitates adequate representations for the observations. We therefore propose to blend representation modelling and task classification into a unified… CONTINUE READING
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