English  |  正體中文  |  简体中文  |  Items with full text/Total items : 27219/39062
Visitors : 2403161      Online Users : 73
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40197

Title: Receiver operating characteristic for diagnosis of wine quality by Bayesian network classifiers
Authors: Chih Chiang Wei
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: Receiver Operating Characteristic
Bayesian Network (BN)
Classification
Date: 2012-11
Issue Date: 2017-01-16T03:50:54Z
Publisher: Advanced Materials Research
Abstract: Abstract: This paper is dedicated to demonstrate the use of the receiver operating characteristic (ROC) and the area under the ROC curve (AUC) for diagnosing forecast skill. Several local search heuristic algorithms to discover which one performs better for learning a certain Bayesian networks (BN). Five heuristic search algorithms, including K2, Hill Climbing, Repeated Hill Climber, LAGD Hill Climbing, and TAN, were empirically evaluated and compared. This study tests BN models in a real-world case, the Vinho Verde wine taste preferences. An average AUC of 0.746 and 0.727 respectively in red wine and white wine were obtained by TAN algorithm. The results show that the use of TAN can effectively improve the AUC measures for predicting quality grade.
Relation: 591-593
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40197
Appears in Collections:[海洋環境資訊系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML43View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback