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Disease Prediction based on Functional Connectomes using a Scalable and
  Spatially-Informed Support Vector Machine
v1v2 (latest)

Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine

21 October 2013
Takanori Watanabe
Daniel A Kessler
Clayton Scott
Mike Angstadt
Chandra S. Sripada
ArXiv (abs)PDFHTML

Papers citing "Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine"

10 / 10 papers shown
Title
Geometric median and robust estimation in Banach spaces
Geometric median and robust estimation in Banach spaces
Stanislav Minsker
170
312
0
06 Aug 2013
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Rodolphe Jenatton
Alexandre Gramfort
V. Michel
G. Obozinski
Evelyn Eger
Francis R. Bach
Bertrand Thirion
295
127
0
02 May 2011
Convex and Network Flow Optimization for Structured Sparsity
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
178
109
0
11 Apr 2011
Total variation regularization for fMRI-based prediction of behaviour
Total variation regularization for fMRI-based prediction of behaviour
V. Michel
Alexandre Gramfort
Gaël Varoquaux
Evelyn Eger
Bertrand Thirion
MedIm
87
159
0
05 Feb 2011
Regularizers for Structured Sparsity
Regularizers for Structured Sparsity
C. Micchelli
Jean Morales
Massimiliano Pontil
132
80
0
04 Oct 2010
Split Bregman method for large scale fused Lasso
Split Bregman method for large scale fused Lasso
Gui-Bo Ye
Xiaohui Xie
91
118
0
26 Jun 2010
Smoothing proximal gradient method for general structured sparse
  regression
Smoothing proximal gradient method for general structured sparse regression
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric Xing
158
231
0
26 May 2010
A Selective Overview of Variable Selection in High Dimensional Feature
  Space (Invited Review Article)
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan
Jinchi Lv
603
914
0
06 Oct 2009
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
335
293
0
09 Mar 2009
Bolasso: model consistent Lasso estimation through the bootstrap
Bolasso: model consistent Lasso estimation through the bootstrap
Francis R. Bach
91
451
0
08 Apr 2008
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