Sparse Multinomial Logistic Regression via Approximate Message Passing-Reference-Cited by-同舟云学术

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Sparse Multinomial Logistic Regression via Approximate Message Passing

Published:2016-11-01 Issue:21 Volume:64 Page:5485-5498
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Byrne Evan,Schniter Philip^ORCID

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://ieeexplore.ieee.org/ielaam/78/7562579/7518615-aam.pdf

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3. Computational simulation and target prediction studies of solubility optimization of decitabine through supercritical solvent;Scientific Reports;2022-11-07

4. Novel numerical simulation of drug solubility in supercritical CO2 using machine learning technique: Lenalidomide case study;Arabian Journal of Chemistry;2022-11

5. PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression;Signal Processing;2022-05

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