Bayesian Topic Mixture Model for Information Retrieval
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 95 === In conventional information retrieval, the documents are usually represented as bag of words. In state-of-art information retrieval, it is popular to apply the probabilistic topic model to infer word correlation through the latent topic variables. Probabilisti...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/83310555788270211949 |