Sparse Linear Regression Algorithm: Difference between revisions
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* (Mateos et al., 2010) ⇒ | * (Mateos et al., 2010) ⇒ [[Gonzalo Mateos]], [[Juan Andres Bazerque]], and [[Georgios B. Giannakis]] (2010). [http://www2.ece.rochester.edu/~gmateosb/pubs/dlasso/D_LASSO_TSP.pdf "Distributed Sparse Linear Regression"]. In: IEEE Transactions on Signal Processing, 58(10), 5262-5276. | ||
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Latest revision as of 17:07, 1 June 2024
A Sparse Linear Regression Algorithm is a Linear Regression Algorithm in which the regression coefficients is a sparse dataset.
- Example(s):
- Counter-Example(s):
- See: Linear Approximation, Linear Combination, Generalized Linear Model, Ridge Regression, Linear Correlation, Correlation Matrix, Gaussian Processes, Linear Predictor Function.
References
2012
- (Sun & Zhang, 2012) ⇒ Tingni Sun, and Cun-Hui Zhang (2012). "Scaled Sparse Linear Regression". In: arXiv:1104.4595.
2010
- (Mateos et al., 2010) ⇒ Gonzalo Mateos, Juan Andres Bazerque, and Georgios B. Giannakis (2010). "Distributed Sparse Linear Regression". In: IEEE Transactions on Signal Processing, 58(10), 5262-5276.