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Model sparsity and brain pattern interpretation of classification models in neuroimaging

  • Published:2012-06 Issue:6 Volume:45 Page:2085-2100
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Rasmussen Peter M.,Hansen Lars K.,Madsen Kristoffer H.,Churchill Nathan W.,Strother Stephen C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference76 articles.

1. Massive weight sharing: a cure for extremely ill-posed problems;Lautrup,1994

2. Nonlinear versus linear models in functional neuroimaging: learning curves and generalization crossover;Mørch,1997

3. Penalized discriminant analysis of [15-O]-water PET brain images with prediction error selection of smoothness and regularization hyperparameters;Kustra;IEEE Transactions on Medical Imaging,2001

4. The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework;Strother;NeuroImage,2002

5. Functional magnetic resonance imaging brain reading: detecting and classifying distributed patterns of fMRI activity in human visual cortex;Cox;NeuroImage,2003

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