A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2021.104286
Abstract: Abstract The current paradigm for geophysical inversions is to select the simplest solution according to Occam's principle. The implicit assumption usually made is that the parameters of interest have a smooth spatial distribution, which is… read more here.
Keywords: support mgs; methodology; resistivity; gradient support ... See more keywords
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3087805
Abstract: Recently, stochastic hard thresholding (HT) optimization methods [e.g., stochastic variance reduced gradient hard thresholding (SVRGHT)] are becoming more attractive for solving large-scale sparsity/rank-constrained problems. However, they have much higher HT oracle complexities, especially for high-dimensional… read more here.
Keywords: gradient support; hard thresholding; support pursuit; stochastic variance ... See more keywords