Semi-Supervised Learning for Text Data Using Generative Models

碩士 === 國立臺灣科技大學 === 資訊工程系 === 93 === The semi-supervised learning problems originate from that we usually cannot obtain labeled data easily in the real world, especially in text data. The architecture of the generative model combining with the naïve Bayes classifier has been proven to achieve pretty...

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Bibliographic Details
Main Authors: Chih-hsiang Tseng, 曾志翔
Other Authors: Hsing-Kuo Pao
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/33152680001880701911