Learning and Applying a Function Over Distributions

Learning and Applying a Function Over Distributions

We present a method for learning a function over distributions. The method is based on generalizing nonparametric kernel regression by using the earth mover's distance as a metric for distribution space. The technique is applied to the problem of learning the dependence of pitcher performance i...

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Bibliographic Details
Main Authors: Glenn Healey, Shiyuan Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Baseball
earth mover’s distance
function over distributions
kernel regression
machine learning
nonparametric
Online Access:https://ieeexplore.ieee.org/document/9200448/

Internet

https://ieeexplore.ieee.org/document/9200448/

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