Incremental algorithm for learning certain rules from inconsistent examples

被引：0
|
作者：
机构：
来源：
Huadong Chuanbo Gongye Xueyuan Xuebao/Journal of East China Shipbuilding Institute | 1998年 / 12卷 / 01期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：25 / 30
相关论文
共 50 条
  • [1] INCREMENTAL LEARNING OF PRODUCTION RULES FROM EXAMPLES UNDER UNCERTAINTY - A ROUGH SET APPROACH
    CHAN, CC
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 1991, 1 (04) : 439 - 461
  • [2] An incremental learning algorithm for constructing Boolean functions from positive and negative examples
    Nieto Sanchez, Salvador
    Triantaphyllou, Evangelos
    Chen, Jianhua
    Liao, T.Warren
    Computers and Operations Research, 2002, 29 (12): : 1677 - 1700
  • [3] An incremental learning algorithm for constructing Boolean functions from positive and negative examples
    Sanchez, SN
    Triantaphyllou, E
    Chen, JH
    Liao, TW
    COMPUTERS & OPERATIONS RESEARCH, 2002, 29 (12) : 1677 - 1700
  • [4] Learning Conditional Preference Networks from Inconsistent Examples
    Liu, Juntao
    Xiong, Yi
    Wu, Caihua
    Yao, Zhijun
    Liu, Wenyu
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2014, 26 (02) : 376 - 390
  • [5] GENERATING FUZZY RULES BY LEARNING FROM EXAMPLES
    WANG, LX
    MENDEL, JM
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1992, 22 (06): : 1414 - 1427
  • [6] Learning to Tag Text from Rules and Examples
    Diligenti, Michelangelo
    Gori, Marco
    Maggini, Marco
    AI(STAR)IA 2011: ARTIFICIAL INTELLIGENCE AROUND MAN AND BEYOND, 2011, 6934 : 45 - 56
  • [7] Semi-supervised incremental learning with few examples for discovering medical association rules
    Ricardo Sánchez-de-Madariaga
    Juan Martinez-Romo
    José Miguel Cantero Escribano
    Lourdes Araujo
    BMC Medical Informatics and Decision Making, 22
  • [8] Semi-supervised incremental learning with few examples for discovering medical association rules
    Sanchez-de-Madariaga, Ricardo
    Martinez-Romo, Juan
    Cantero Escribano, Jose Miguel
    Araujo, Lourdes
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022, 22 (01)
  • [9] Applying GMDH algorithm to extract rules from examples
    Fujimoto, K
    Nakabayashi, S
    MODELLING AND SIMULATION 2001, 2001, : 669 - 672
  • [10] An Evolutionary Approach for Learning Conditional Preference Networks from Inconsistent Examples
    Haqqani, Mohammad
    Li, Xiaodong
    ADVANCED DATA MINING AND APPLICATIONS, ADMA 2017, 2017, 10604 : 502 - 515
12345