語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine learning and interpretation ...
~
Rish, Irina.
Machine learning and interpretation in neuroimaging = 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Machine learning and interpretation in neuroimaging/ edited by Irina Rish ... [et al.].
其他題名:
4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /
其他題名:
MLINI 2014
其他作者:
Rish, Irina.
團體作者:
Workshop on the Preservation of Stability under Discretization
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 - Congresses. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-45174-9
ISBN:
9783319451749
Machine learning and interpretation in neuroimaging = 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /
Machine learning and interpretation in neuroimaging
4th 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 ;6140..
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:
574552
Machine learning
--Congresses.
LC Class. No.: Q325.5 / .M55 2014
Dewey Class. No.: 006.31
Machine learning and interpretation in neuroimaging = 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014 : revised selected papers /
LDR
:02913nam a2200349 a 4500
001
866965
003
DE-He213
005
20160912082211.0
006
m d
007
cr nn 008maaau
008
170720s2016 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
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
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 :
$c
2016.
$b
Springer International Publishing :
$b
Imprint: Springer,
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
$v
Congresses.
$3
574552
$3
727808
650
0
$a
Artificial intelligence
$x
Medical applications
$v
Congresses.
$3
675317
$3
742904
650
0
$a
Brain
$x
Imaging
$x
Data processing
$v
Congresses.
$3
815940
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Pattern Recognition.
$3
669796
650
2 4
$a
Image Processing and Computer Vision.
$3
670819
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
593924
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
815116
650
2 4
$a
Probability and Statistics in Computer Science.
$3
669886
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
700
1
$a
Rish, Irina.
$3
1113505
710
2
$a
SpringerLink (Online service)
$3
593884
711
2
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
6140.
$3
744199
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-45174-9
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入