Adaptive Feature Extractions for High Dimensional Data Classification

碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 98 === In a typical classification process, the size of training data fundamentally affects the generality of a classifier. Given a finite and fixed size of training data, the classification result may be degraded as dimensionality increasing. Many researches have d...

Full description

Bibliographic Details
Main Authors: Shih-Syun Lin, 林士勛
Other Authors: Bor-Chen Kuo
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/10217412908328197883