English  |  正體中文  |  简体中文  |  Items with full text/Total items : 88295/117812 (75%)
Visitors : 23402179      Online Users : 107
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/74488
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/74488

    Title: Hybrid ensembles of decision trees and artificial neural networks
    Authors: Hsu, Kuo-Wei
    Contributors: 資科系
    Keywords: Classification algorithm;Classification performance;Ensemble learning;Group decision making process;Classification (of information);Cybernetics;Learning systems;Neural networks;Decision trees
    Date: 2012
    Issue Date: 2015-04-10 17:26:15 (UTC+8)
    Abstract: Ensemble learning is inspired by the human group decision making process, and it has been found beneficial in various application domains. Decision tree and artificial neural network are two popular types of classification algorithms often used to construct classic ensembles. Recently, researchers proposed to use the mixture of both types to construct hybrid ensembles. However, researchers use decision trees and artificial neural networks together in an ensemble without further discussion. The focus of this paper is on the hybrid ensemble constructed by using decision trees and artificial neural networks simultaneously. The goal of this paper is not only to show that the hybrid ensemble can achieve comparable or even better classification performance, but also to provide an explanation of why it works. © 2012 IEEE.
    Relation: Proceeding - 2012 IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/CyberneticsCom.2012.6381610
    DOI: 10.1109/CyberneticsCom.2012.6381610
    Appears in Collections:[資訊科學系] 會議論文

    Files in This Item:

    File Description SizeFormat

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback