Improvement of Kernel Dependency Estimation and Case Study on Skewed Data
碩士 === 國立中央大學 === 資訊工程學系 === 101 === Kernel dependency estimation is a learning framework of finding the dependencies between two general classes of objects. Although already succeeded in many kinds of applications, its properties are not fully studied. In this paper we will discuss two practical is...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2013
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Online Access: | http://ndltd.ncl.edu.tw/handle/zj287b |