Linear Support Vector Regression with Linear Constraints

6 Nov 2019Quentin KlopfensteinSamuel Vaiter

This paper studies the addition of linear constraints to the Support Vector Regression (SVR) when the kernel is linear. Adding those constraints into the problem allows to add prior knowledge on the estimator obtained, such as finding probability vector or monotone data... (read more)

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