Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9444)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MLINI 2013. MLINI 2014.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 papers)
-
Front Matter
-
Clinics and Cognition
-
Front Matter
-
-
Causality and Time-Series
-
Front Matter
-
-
Best Paper Awards: MLINI 2013
-
Front Matter
-
-
Back Matter
Other volumes
-
Machine Learning and Interpretation in Neuroimaging
Keywords
- 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
- multi-task learning
- phonological categories
- regression
- speech articulation
- time series
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Interpretation in Neuroimaging
Book Subtitle: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers
Editors: Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-45174-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-45173-2Published: 13 September 2016
eBook ISBN: 978-3-319-45174-9Published: 12 September 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 129
Number of Illustrations: 30 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Information Systems Applications (incl. Internet), Probability and Statistics in Computer Science, Data Mining and Knowledge Discovery