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Oct 2, 2019
group-lasso
Here are 14 public repositories matching this topic...
My project for STATS-608A in Fall 2018 at the University of Michigan
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Dec 12, 2018 - TeX
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Dec 21, 2023 - Python
We explored various approaches to deal with high-dimensional data in this study, and we compared them using simulation and soil datasets. We discovered that grouping had a significant impact on model correctness and error reduction. For the core projection step, we first looked at the properties of all the algorithms and how they function to com…
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Sep 21, 2021 - TeX
This is a development version of DMRnet — Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data.
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Aug 7, 2023 - R
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
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Jan 17, 2024 - R
Molecular-property prediction with sparsity
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May 25, 2022 - Python
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
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Mar 21, 2023 - R
Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data
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Mar 15, 2023 - R
北大文再文-最优化方法(凸优化)-程序作业 Course homework for Optimization Methods 2023 Fall, PKU WenZW
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Dec 21, 2023 - Python
Block coordinate descent for group lasso
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Sep 8, 2021 - C++
Machine learning time series regressions
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Aug 5, 2021 - Julia
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
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Jul 17, 2023 - C++
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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Apr 24, 2023 - Jupyter Notebook
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