Quantile Regression Learning with Coefficient Dependent lq-Regularizer
نویسندگان
چکیده
منابع مشابه
Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel
Regularization is a well-recognized powerful strategy to improve the performance of a learning machine and l(q) regularization schemes with 0 < q < ∞ are central in use. It is known that different q leads to different properties of the deduced estimators, say, l(2) regularization leads to a smooth estimator, while l(1) regularization leads to a sparse estimator. Then how the generalization capa...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201817303033