A Self-Constructing Rotating Similarity with Hybrid Learning Method for Classification and Regression Problems
碩士 === 國立中山大學 === 電機工程學系研究所 === 103 === We propose an algorithm for single label classification, multi-label classification, and regression estimation which incorporates a rotating similarity, weighted relevance, hybrid learning, and threshold checking. Firstly, the rotating cluster similarity is mo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46q82p |