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Picasso: A sparse learning library for high dimensional data analysis in R and python
Jason Ge
, Xingguo Li
, Haoming Jiang
, Han Liu
,
Tong Zhang
, Mengdi Wang
, Tuo Zhao
Research output
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peer-review
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Dive into the research topics of 'Picasso: A sparse learning library for high dimensional data analysis in R and python'. Together they form a unique fingerprint.
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Keyphrases
Sparse Learning
100%
Python
100%
High-dimensional Data Analysis
100%
Picasso
100%
Regularizer
66%
Sparse Regression
66%
Learning Problems
33%
Numerical Experiments
33%
Selection Strategy
33%
Unified Framework
33%
Sparsity
33%
C + +
33%
Poisson Regression
33%
Large-scale Problems
33%
Pathwise
33%
Active Set
33%
Collaborative Optimization
33%
Set Selection
33%
Sparse Logistic Regression
33%
Python Wrapper
33%
Engineering
Sparsity
100%
Numerical Experiment
100%
Dimensional Data
100%
Selection Strategy
100%
Active Set
100%
Computer Science
High-Dimensional Data Analysis
100%
Sparse Learning
100%
Sparsity
50%
Unified Framework
50%
Selection Strategy
50%
Learning Problem
50%
Sparse Logistic Regression
50%
Mathematics
Dimensional Data
100%
Linear Regression Analysis
100%
Numerical Experiment
50%
Logistic Regression
50%
Poisson Regression
50%