Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach

被引：0
|
作者：
Philip G.K. Reiser
Patricia J. Riddle
机构：
[1] University of Auckland,Department of Computer Science
来源：
Applied Intelligence | 2001年 / 15卷
关键词：
evolutionary algorithms; inductive logic programming; sampling; machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Inductive logic programming (ILP) algorithms are classification algorithms that construct classifiers represented as logic programs. ILP algorithms have a number of attractive features, notably the ability to make use of declarative background (user-supplied) knowledge. However, ILP algorithms deal poorly with large data sets (>104 examples) and their widespread use of the greedy set-covering algorithm renders them susceptible to local maxima in the space of logic programs.
引用
收藏
页码：181 / 197
页数：16
相关论文
共 50 条
  • [41] The Connectionist Inductive Learning and Logic Programming System
    Artur S. Avila Garcez
    Gerson Zaverucha
    Applied Intelligence, 1999, 11 : 59 - 77
  • [42] Inductive logic programming for gene regulation prediction
    Sebastian Fröhler
    Stefan Kramer
    Machine Learning, 2008, 70 : 225 - 240
  • [43] Inferring UI Patterns with Inductive Logic Programming
    Nabuco, Miguel
    Paiva, Ana C. R.
    Camacho, Rui
    Faria, Joao Pascoal
    PROCEEDINGS OF THE 2013 8TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2013), 2013,
  • [44] Inductive logic programming for gene regulation prediction
    Froehler, Sebastian
    Kramer, Stefan
    MACHINE LEARNING, 2008, 70 (2-3) : 225 - 240
  • [45] Improving the efficiency of inductive logic programming systems
    Fonseca, Nuno A.
    Costa, Vitor Santos
    Rocha, Ricardo
    Camacho, Rui
    Silva, Fernando
    SOFTWARE-PRACTICE & EXPERIENCE, 2009, 39 (02) : 189 - 219
  • [46] On the complexity of some inductive logic programming problems
    Georg Gottlob
    Nicola Leone
    Francesco Scarcello
    New Generation Computing, 1999, 17 : 53 - 75
  • [47] Inductive Logic Programming for explainable graph clustering
    Schramm, Simon
    Schmid, Ute
    2023 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE GRAPH, ICKG, 2023, : 235 - 242
  • [48] On the complexity of some inductive logic programming problems
    Gottlob, G
    Leone, N
    Scarcello, F
    NEW GENERATION COMPUTING, 1999, 17 (01) : 53 - 75
  • [49] Editorial: Inductive logic programming is coming of age
    Flach, P
    Dzeroski, S
    MACHINE LEARNING, 2001, 44 (03) : 207 - 209
  • [50] On Generating Templates for Hypothesis in Inductive Logic Programming
    Chovanec, Andrej
    Bartak, Roman
    ADVANCES IN ARTIFICIAL INTELLIGENCE, PT I, 2011, 7094 : 162 - 173
12345