Sparse Nonnegative Interaction Models

Sparse Nonnegative Interaction Models

Non-negative least square regression (NLS) is a constrained least squares problem where the coefficients are restricted to be non-negative. It is useful for modeling non-negative responses such as time measurements, count data, histograms and so on. Existing NLS solvers are designed for cases where...

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Bibliographic Details
Main Authors: Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
LASSO/LARS
itemset mining
nonnegative least squares
variable interaction
interpretable machine learning
Online Access:https://ieeexplore.ieee.org/document/9493878/

Internet

https://ieeexplore.ieee.org/document/9493878/

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