LEARNING ALGORITHMS BASED ON THE CONSTRUCTION OF DECISION TREES

被引:0
|
作者
DONSKOI, VI
机构
关键词
D O I
10.1016/0041-5553(82)90020-9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
引用
收藏
页码:197 / 209
页数:13
相关论文
共 50 条
  • [1] EXPERIMENTING WITH DECISION TREES AND INSTANCE-BASED LEARNING ALGORITHMS
    Paun, Alexandru
    [J]. LET'S BUILD THE FUTURE THROUGH LEARNING INNOVATION!, VOL. 2, 2014, : 378 - 384
  • [2] Simple learning algorithms for decision trees and multivariate polynomials
    Bshouty, NH
    Mansour, Y
    [J]. SIAM JOURNAL ON COMPUTING, 2002, 31 (06) : 1909 - 1925
  • [3] New algorithms for learning and pruning oblique decision trees
    Shah, S
    Sastry, PS
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 1999, 29 (04): : 494 - 505
  • [4] Algorithms for constructing of decision trees
    Moshkov, M
    [J]. PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY, 1997, 1263 : 335 - 342
  • [5] On Greedy Algorithms for Decision Trees
    Cicalese, Ferdinando
    Jacobs, Tobias
    Laber, Eduardo
    Molinaro, Marco
    [J]. ALGORITHMS AND COMPUTATION, PT 2, 2010, 6507 : 206 - +
  • [6] Analyzing student performance in distance learning with genetic algorithms and decision trees
    Kalles, Dimitris
    Pierrakeas, Christos
    [J]. APPLIED ARTIFICIAL INTELLIGENCE, 2006, 20 (08) : 655 - 674
  • [7] NOISE-TOLERANT OCCAM ALGORITHMS AND THEIR APPLICATIONS TO LEARNING DECISION TREES
    SAKAKIBARA, Y
    [J]. MACHINE LEARNING, 1993, 11 (01) : 37 - 62
  • [8] Technologies in decision trees construction
    Zhang, LQ
    Zheng, ZR
    [J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 933 - 936
  • [9] Construction of decision trees by optimization
    Rakotomalala, Ricco
    Lallich, Stéphane
    [J]. 2002, Editions Hermes (16)
  • [10] Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction
    Jun, Sungbum
    Lee, Seokcheon
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (09) : 2838 - 2856