Bayesian Support Vector Regression Using a Unified Loss Function
نویسندگان
چکیده
منابع مشابه
A Unified Loss Function in Bayesian Framework for Support Vector Regression
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the desirable characteristics of popular non-quadratic loss functions, such as Laplacian, Huber’s and Vapnik’s ε-insensitive loss function. We describe the properties of SILF and illustrate our assumption on the underlying ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 2004
ISSN: 1045-9227
DOI: 10.1109/tnn.2003.820830