Feature Selection Based on Iterative Orthogonal Experimental Design
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 95 === Feature selection is an important issue in the problem of machine learning. Especially in the domain of activity recognition, many researchers try to make use of multiple heterogeneous sensors and thus receive a large amount of signals. Many features can be extr...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/93997628014275251144 |