Concepedia

Sparse optimization in feature selection: application in neuroimaging

Kittipat Kampa, Shilpa Mehta, Chun‐An Chou, W. Art Chaovalitwongse, Thomas J. Grabowski

Journal of Global Optimization · 2014 · 37 citations · 51 references

Concepts

ComputingData ScienceBiomedical ImagingMachine LearningOptimizationBrain ImagingDimensionality ReductionFeature SelectionFunctional NeuroimagingMagnetic Resonance Image ReconstructionOptimization For Machine LearningMachine Learning In NeuroimagingSparse Feature RepresentationSparse Feature SelectionSparse LearningSparse Optimization

References

51

Regression Shrinkage and Selection Via the Lasso

Robert Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1996 · 51.8K citations

Business, Biostatistics, Computer Science +17

Regularization and Variable Selection Via the Elastic Net

Hui Zou, Trevor Hastie · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2005 · 21K citations · Full text

Computing, Computer Science, Data Science +15

Sanjay Ghemawat · Communications of the ACM · 2008 · 18.5K citations · Full text

Computing, Computer Science, Computer Systems +17

Regularization Paths for Generalized Linear Models via Coordinate Descent

Jerome H. Friedman, Trevor Hastie, Robert Tibshirani · Journal of Statistical Software · 2010 · 17.1K citations · Full text

Natural Sciences, Computer Science, Mathematics +17

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

Rahul S. Desikan, Florent Ségonne, Bruce Fischl et al. · NeuroImage · 2006 · 14.1K citations

Medicine, Neuroscience, Biomedical Imaging +15