Learning Generative Models for Density Estimation and Function Approximation
博士 === 國立東華大學 === 應用數學系 === 93 === This thesis systematically explores generative models for unsupervised and supervised pattern analysis. By designing and fitting the proposed generative models for unsupervised and supervised pattern analysis, we devise new approaches to solving complex tasks in th...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2005
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Online Access: | http://ndltd.ncl.edu.tw/handle/26599859445399880913 |