Approximate Bayesian Topic Models for Information Retrieval

博士 === 國立成功大學 === 資訊工程學系碩博士班 === 101 === Document model and language model are known as the core technology for building information retrieval systems. This dissertation presents a series of approximate Bayesian inference algorithms including maximum a posteriori, recursive Bayesian, sparse Bayesian...

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Bibliographic Details
Main Authors: Ying-LanChang, 張瑛蘭
Other Authors: Tong-Yee Lee
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/36000807012128048979