Improvd downward branch and bound algorithm for regression variable selection
Subset (feature) selection for least squares regression is a common problem, which is combinartorial, hence is computationally NP hard. This code provides a tool using the improved downward branch and bound approach to solve this problem efficiently. One of the applications of this algorithm is to select globally optimal controlled variables for self-optimizing control.
Citation pour cette source
Yi Cao (2024). Improvd downward branch and bound algorithm for regression variable selection (https://www.mathworks.com/matlabcentral/fileexchange/40357-improvd-downward-branch-and-bound-algorithm-for-regression-variable-selection), MATLAB Central File Exchange. Récupéré le .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Model Building and Assessment >
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Version | Publié le | Notes de version | |
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1.1.0.0 | correct version uploaded |
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1.0.0.0 |