Dynamic Random Forests

被引:81
|
作者
Bernard, Simon [1 ]
Adam, Sebastien [1 ]
Heutte, Laurent [1 ]
机构
[1] Univ Rouen, LITIS EA 4108, F-76801 St Etienne, France
关键词
Random forests; Ensemble of classifiers; Random feature selection; Dynamic induction;
D O I
10.1016/j.patrec.2012.04.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we introduce a new Random Forest (RF) induction algorithm called Dynamic Random Forest (DRF) which is based on an adaptative tree induction procedure. The main idea is to guide the tree induction so that each tree will complement as much as possible the existing trees in the ensemble. This is done here through a resampling of the training data, inspired by boosting algorithms, and combined with other randomization processes used in traditional RF methods. The DRF algorithm shows a significant improvement in terms of accuracy compared to the standard static RF induction algorithm. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1580 / 1586
页数:7
相关论文
共 50 条
  • [41] Streaming random forests
    Abdulsalam, Hanady
    Skillicorn, David B.
    Martin, Patrick
    [J]. IDEAS 2007: 11TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM, PROCEEDINGS, 2007, : 225 - 232
  • [42] Neural Random Forests
    Gérard Biau
    Erwan Scornet
    Johannes Welbl
    [J]. Sankhya A, 2019, 81 : 347 - 386
  • [43] Random Decomposition Forests
    Chien, Chun-Han
    Chen, Hwann-Tzong
    [J]. 2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013), 2013, : 687 - 691
  • [44] Subtractive random forests
    Broutin, Nicolas
    Devroye, Luc
    Lugosi, Gabor
    Oliveira, Roberto Imbuzeiro
    [J]. ALEA-LATIN AMERICAN JOURNAL OF PROBABILITY AND MATHEMATICAL STATISTICS, 2024, 21 : 575 - 591
  • [45] Random subsequence forests
    He Z.
    Wang J.
    Jiang M.
    Hu L.
    Zou Q.
    [J]. Information Sciences, 2024, 667
  • [46] Compressing Random Forests
    Painsky, Amichai
    Rosset, Saharon
    [J]. 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2016, : 1131 - 1136
  • [47] Uplift Random Forests
    Guelman, Leo
    Guillen, Montserrat
    Perez-Marin, Ana M.
    [J]. CYBERNETICS AND SYSTEMS, 2015, 46 (3-4) : 230 - 248
  • [48] Random forests for microarrays
    Cutler, Adele
    Stevens, John R.
    [J]. DNA MICROARRAYS, PART B: DATABASES AND STATISTICS, 2006, 411 : 422 - +
  • [49] Random Forests with R
    Maindonald, John H.
    [J]. INTERNATIONAL STATISTICAL REVIEW, 2021,
  • [50] On the profile of random forests
    Gittenberger, B
    [J]. MATHEMATICS AND COMPUTER SCIENCE II: ALGORITHMS, TREES, COMBINATORICS AND PROBABILITIES, 2002, : 279 - 293