Machine Learning and Interpretation in Neuroimaging

Beschreibung

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.

Autor*in

Irina Rish

Themen in »Machine Learning and Interpretation in Neuroimaging«

brain imaging life and medical sciences machine learning neural systems pattern recognition classification computer applications data mining and knowledge discovery electroencephalography fMRI Gaussian processes image processing and computer vision matrix deflation mild cognitive impairment multi-modality

Stimmen zu »Machine Learning and Interpretation in Neuroimaging«

Details

Link teilen