Summary of algorithm selection problem based on meta-learning

被引：0
|
作者：
机构：
[1] [1,Zeng, Zi-Lin
[2] Zhang, Hong-Jun
[3] Zhang, Rui
[4] Wang, Zhi-Teng
来源：
Zeng, Z.-L. (zzljxnu@163.com) | 1600年 / Northeast University卷 / 29期
关键词：
Algorithm selection - Data set - Learning tasks - Meta-algorithms - Metalearning;
D O I：
10.13195/j.kzyjc.2013.1297
中图分类号：
学科分类号：
摘要：
The algorithm selection problem can be considered as a learning task. Therefore, the framework of algorithm selection based on meta-learning is analyzed firstly. Then the algorithm selection based on meta-learning is classified and summarized from the viewpoint of characteristics of data set and meta-algorithm. Finally, the problems of algorithm selection based on meta-learning are analyzed, and the develop directions are proposed in the future.
引用
收藏
相关论文
共 50 条
  • [21] EFFECT: Explainable framework for meta-learning in automatic classification algorithm selection
    Shao, Xinyue
    Wang, Hongzhi
    Zhu, Xiao
    Xiong, Feng
    Mu, Tianyu
    Zhang, Yan
    INFORMATION SCIENCES, 2023, 622 : 211 - 234
  • [22] MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data
    Debiaso Rossi, Andre Luis
    de Leon Ferreira de Carvalho, Andre Carlos Ponce
    Soares, Carlos
    de Souza, Bruno Feres
    NEUROCOMPUTING, 2014, 127 : 52 - 64
  • [23] Meta-learning based industrial intelligence of feature nearest algorithm selection framework for classification problems
    Li, Li
    Wang, Yong
    Xu, Ying
    Lin, Kuo-Yi
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 62 : 767 - 776
  • [24] On Meta-Learning for Dynamic Ensemble Selection
    Cruz, Rafael M. O.
    Sabourin, Robert
    Cavalcanti, George D. C.
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 1230 - 1235
  • [25] A Personalized Federated Learning Algorithm Based on Meta-Learning and Knowledge Distillation
    Sun Y.
    Shi Y.
    Wang Z.
    Li M.
    Si P.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2023, 46 (01): : 12 - 18
  • [26] Meta-Learning for Data Summarization Based on Instance Selection Method
    Smith-Miles, Kate
    Islam, Rafiqul
    2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,
  • [27] A federated recommendation algorithm based on user clustering and meta-learning
    Yu, Enqi
    Ye, Zhiwei
    Zhang, Zhiqiang
    Qian, Ling
    Xie, Meiyi
    APPLIED SOFT COMPUTING, 2024, 158
  • [28] MetaLIRS: Meta-learning for Imputation and Regression Selection
    Erez, Ill Baysal
    Flokstra, Jan
    Pod, Mannes
    van Keulen, Maurice
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2024, PT I, 2025, 15346 : 155 - 166
  • [29] Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning
    Prudencio, Ricardo B. C.
    Soares, Carlos
    Ludermir, Teresa B.
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2011, PT II, 2011, 6792 : 454 - +
  • [30] A Case-Based Meta-Learning and Reasoning Framework for Classifiers Selection
    Ali, Rahman
    Khatak, Aasad Masood
    Chow, Francis
    Lee, Sungyoung
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM 2018), 2018,
12345