Analysis and Implementation of Large-scale Linear RankSVM in Distributed Environments
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 104 === Linear rankSVM is a useful method to quickly produce a baseline model for learning to rank. Although its parallelization has been investigated and implemented on GPU, it may not handle large-scale data sets. In this thesis, we propose a distributed trust region...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2016
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Online Access: | http://ndltd.ncl.edu.tw/handle/22726152369307756919 |