Sensor resource scheduling based on the pruning of information decision tree

被引：0
|
作者：
Cheng, Hong-Wei [1 ,2 ]
Tang, Hong-Bin [3 ]
Li, Jun [1 ]
Wang, Bo [1 ]
机构：
[1] College of Electronic Science and Engineering, National Univ of Defense Technology, Changsha, Hunan 410073, China
[2] Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
[3] Training Division, National Univ of Defense Technology, Changsha, Hunan 410073, China
来源：
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2010年 / 37卷 / 09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：44 / 48
相关论文
共 50 条
  • [21] Risk decision based sensor scheduling in target tracking
    Pang, Ce
    Shan, Ganlin
    ENGINEERING COMPUTATIONS, 2020, 37 (09) : 3147 - 3169
  • [22] A decision tree based decomposition method for oil refinery scheduling
    Xiaoyong Gao
    Dexian Huang
    Yongheng Jiang
    Tao Chen
    ChineseJournalofChemicalEngineering, 2018, 26 (08) : 1605 - 1612
  • [23] A decision tree based decomposition method for oil refinery scheduling
    Gao, Xiaoyong
    Huang, Dexian
    Jiang, Yongheng
    Chen, Tao
    CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2018, 26 (08) : 1605 - 1612
  • [24] Decision tree pruning using backpropagation neural networks
    Kijsirikul, B
    Chongkasemwongse, K
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 1876 - 1880
  • [25] Predicting nearly as well as the best pruning of a decision tree
    Univ of California, Santa Cruz, United States
    Mach Learn, 1600, 1 (51-68):
  • [26] A Priority Heuristic Correlation Technique for Decision Tree Pruning
    Xiang, Yu
    Ma, Li
    ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING, 2020, 590 : 176 - 182
  • [27] Detecting and pruning Introns for faster decision tree evolution
    Eggermont, J
    Kok, JN
    Kosters, WA
    PARALLEL PROBLEM SOLVING FROM NATURE - PPSN VIII, 2004, 3242 : 1071 - 1080
  • [28] PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
    Rajeev Rastogi
    Kyuseok Shim
    Data Mining and Knowledge Discovery, 2000, 4 : 315 - 344
  • [29] Predicting nearly as well as the best pruning of a decision tree
    Helmbold, DP
    Schapire, RE
    MACHINE LEARNING, 1997, 27 (01) : 51 - 68
  • [30] Predicting Nearly As Well As the Best Pruning of a Decision Tree
    David P. Helmbold
    Robert E. Schapire
    Machine Learning, 1997, 27 : 51 - 68
12345