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...

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Bibliographic Details
Main Authors: Qingzhi Chen, 陳慶治
Other Authors: Chia-Hui Chang
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/zj287b