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Conference MLINI (Workshop) (4th : 2014 : Montréal, Québec)
Title Machine learning and interpretation in neuroimaging : 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised selected papers / Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy (eds.).
Imprint Cham, Switzerland : Springer, 2016.

LOCATION CALL # STATUS MESSAGE
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Conference MLINI (Workshop) (4th : 2014 : Montréal, Québec)
Series Lecture notes in artificial intelligence, 0302-9743 ; 9444
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9444.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Machine learning -- Congresses.
Artificial intelligence -- Medical applications -- Congresses.
Brain -- Imaging -- Data processing -- Congresses.
Alt Name Rish, Irina, 1969-
Langs, Georg,
Wehbe, Leila,
Cecchi, Guillermo A.,
Chang, Kai-min Kevin,
Murphy, Brian,
NIPS (Conference) (2014 : Montreal, Quebec), jointly held conference.
Add Title MLINI 2014
Description 1 online resource (x, 129 pages) : illustrations.
polychrome rdacc
Note Includes author index.
Contents Networks and Decoding -- Multi-Task Learning for Interpretation of Brain Decoding Models -- The New Graph Kernels on Connectivity Networks for Identification of MCI -- Mapping Tractography Across Subjects -- Speech -- Automated speech analysis for psychosis evaluation -- Combining different modalities in classifying phonological categories -- Clinics and cognition -- Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease -- Leveraging Clinical Data to Enhance Localization of Brain Atrophy -- Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization -- Causality and time-series -- Classification-based Causality Detection in Time Series -- Fast and Improved SLEX Analysis of High-dimensional Time Series -- Best paper awards: MLINI 2013 -- Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis -- Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections -- An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes.
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.
Note Online resource; title from PDF title page (SpringerLink, viewed September 23, 2016).
ISBN 9783319451749 (electronic bk.)
331945174X (electronic bk.)
3319451731
9783319451732
9783319451732 (print)
ISBN/ISSN 10.1007/978-3-319-45174-9
OCLC # 958950992
Additional Format Printed edition: 9783319451732


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