大葉大學圖書館 |

Machine learning and interpretation in neuroimaging[electronic resource] :4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.31
書名/作者:	Machine learning and interpretation in neuroimaging : 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers // edited by Irina Rish ... [et al.].
其他題名:	MLINI 2014
其他作者:	Rish, Irina.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	x, 129 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Machine learning
標題:	Artificial intelligence - Congresses. - Medical applications
標題:	Brain - Congresses. - Imaging
標題:	Computer Science.
標題:	Pattern Recognition.
標題:	Image Processing and Computer Vision.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Information Systems Applications (incl. Internet)
標題:	Probability and Statistics in Computer Science.
標題:	Data Mining and Knowledge Discovery.
ISBN:	9783319451749
ISBN:	9783319451732
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-45174-9

Machine learning and interpretation in neuroimaging[electronic resource] :4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /
Machine learning and interpretation in neuroimaging4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /[electronic resource] :MLINI 2014edited by Irina Rish ... [et al.]. - Cham :Springer International Publishing :2016. - x, 129 p. :ill., digital ;24 cm. - Lecture notes in computer science,94440302-9743 ;. - Lecture notes in computer science ;7103..

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.

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.

ISBN: 9783319451749

Standard No.: 10.1007/978-3-319-45174-9doiSubjects--Topical Terms:

135653
Machine learning

LC Class. No.: Q325.5 / .M55 2014

Dewey Class. No.: 006.31

Machine learning and interpretation in neuroimaging[electronic resource] :4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /
LDR:02913nmm a2200349 a 4500 001 466232
003 DE-He213
005 20160912082211.0
006 m d
007 cr nn 008maaau
008 170415s2016 gw s 0 eng d
020 $a 9783319451749 $q (electronic bk.)
020 $a 9783319451732 $q (paper)
024 7 $a 10.1007/978-3-319-45174-9 $2 doi
035 $a 978-3-319-45174-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .M55 2014
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M685 2014
111 2 $a Clark Conference $d (2005 : $c Sterling and Francine Clark Art Institute) $3 347558
245 1 0 $a Machine learning and interpretation in neuroimaging $h [electronic resource] : $b 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers / $c edited by Irina Rish ... [et al.].
246 3 $a MLINI 2014
246 3 $a NIPS 2014
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a x, 129 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9444
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning $3 135653
650 0 $a Artificial intelligence $x Medical applications $v Congresses. $3 490581
650 0 $a Brain $x Imaging $x Data processing $v Congresses. $3 490582
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Pattern Recognition. $3 463916
650 2 4 $a Image Processing and Computer Vision. $3 463967
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Information Systems Applications (incl. Internet) $3 463679
650 2 4 $a Probability and Statistics in Computer Science. $3 468089
650 2 4 $a Data Mining and Knowledge Discovery. $3 464541
700 1 $a Rish, Irina. $3 670892
710 2 $a SpringerLink (Online service) $3 463450
711 2 $a Clark Conference $d (2005 : $c Sterling and Francine Clark Art Institute) $3 347558
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 7103. $3 466200
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45174-9
950 $a Computer Science (Springer-11645)