Budgeted Algorithm for Linearized Confidence-Weighted Learning
碩士 === 國立交通大學 === 數據科學與工程研究所 === 107 === This paper presents a novel algorithm for performing linearized confidence-weighted (LCW) learning on a fixed budget. LCW learning has been applied to solve online classification problems in recent years. To make better classification performance, it is commo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/wenc39 |