https://scholars.lib.ntu.edu.tw/handle/123456789/115349
標題: | Resolving hidden representations | 作者: | CHENG-YUAN LIOU Cheng Wei-Chen |
公開日期: | 2008 | 起(迄)頁: | Part-II | 來源出版物: | Lecture Notes in Computer Science 4985 | 摘要: | This paper presents a novel technique to separate the pattern representation in each hidden layer to facilitate many classification tasks. This technique requires that all patterns in the same class will have near representions and the patterns in different classes will have distant representions. This requirement is applied to any two data patterns to train a selected hidden layer of the MLP or the RNN. The MLP can be trained layer by layer feedforwardly to accomplish resolved representations. The trained MLP can serve as a kind of kernel functions for categorizing multiple classes. © 2008 Springer-Verlag Berlin Heidelberg. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/221404 https://www.scopus.com/record/display.uri?eid=2-s2.0-54049153273&origin=resultslist |
ISSN: | 03029743 | DOI: | 10.1007/978-3-540-69162-4_27 | SDG/關鍵字: | Classification tasks; Data patterns; Hidden layers; Kernel functions; Layer-by-layer; Multiple classes; Novel techniques; Pattern representations |
顯示於: | 資訊工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。