教師資料查詢 | 類別: 期刊論文 | 教師: 周建興 Chien-hsing Chou (瀏覽個人網頁)

標題:Modified Sequential Floating Search Algorithm with a Novel Ranking Method
學年100
學期2
出版(發表)日期2012/03/01
作品名稱Modified Sequential Floating Search Algorithm with a Novel Ranking Method
作品名稱(其他語言)
著者Chou, Chien-Hsing; Hsieh, Yi-Zeng; Tsai, Chi-Yi
單位淡江大學電機工程學系
出版者Kumamoto: I C I C International
著錄名稱、卷期、頁數International Journal of Innovative Computing, Information and Control 8(3)pt.B, pp.2089-2010
摘要Feature selection plays a critical role in pattern classification. Of the various feature selection methods, the sequential floating search (SFS) method is perhaps the most well-known and widely adopted. This paper proposes a feature selection method combining feature ranking and SFS. The proposed feature ranking approach adopts the new idea of false features to rank features based on their importance, and then applies SFS to features that are less important or of lower rank. This approach overcomes issues with the original SFS and extracts more critical features. In addition, most feature selection methods do not consider the problem of multi-class classification. As a result, these methods have difficulty achieving good performance when dealing with a greater variety of classes. Therefore, this study adopts a one-against-all strategy to address this issue. The proposed approach divides multi-class classification into several binary classifications and adopts feature selection to derive individual feature subsets. This strategy achieves satisfactory performance in experimental simulations.
關鍵字Feature selection; Sequential floating search; False feature; One-against-all; Pattern classification
語言英文
ISSN1349-4198
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式紙本
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