Table 3 The searching range of optimal γ for each non-convex penalty.

From: Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

 

\({\ell }_{\gamma }\)-norm

SCAD

Geman, Laplace, MCP

ETP, Log

Range of γ

0.1, 0.2, 0.3

3.7

0.1, 0.01, 0.001

10, 100, 1000

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