An Efficient Stochastic Matching Pursuit Algorithm and its Applications
碩士 === 國立高雄大學 === 統計學研究所 === 98 === The stochastic matching pursuit algorithm, proposed by Chen et al. (2009), performs well in Bayesian variable selection. In this thesis, the full Bayesian version of the stochastic matching pursuit algorithm is first proposed and then an efficient computing approa...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/65949655164539857580 |