Article

Generating Accurate Rule Sets Without Global Optimization

Authors:

Eibe Frank,

Ian H. WittenAuthors Info & Claims

ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning

Pages 144 - 151

Published: 24 July 1998 Publication History

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Fahmy HPastore FBriand LStifter T(2023)Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical SystemsACM Transactions on Software Engineering and Methodology10.1145/356993532:4(1-47)Online publication date: 27-May-2023
https://dl.acm.org/doi/10.1145/3569935
Aleryani ABostrom AWang WIglesia B(2023)Multiple Imputation Ensembles for Time Series (MIE-TS)ACM Transactions on Knowledge Discovery from Data10.1145/355164317:3(1-28)Online publication date: 22-Feb-2023
https://dl.acm.org/doi/10.1145/3551643
Van Zyl JEngelbrecht A(2022)Rule Induction Using Set-Based Particle Swarm Optimisation2022 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC55065.2022.9870360(1-8)Online publication date: 18-Jul-2022
https://dl.acm.org/doi/10.1109/CEC55065.2022.9870360
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Generating Accurate Rule Sets Without Global Optimization

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Published In

ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning

July 1998

573 pages

ISBN:1558605568

Editor:
Jude W. Shavlik

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 24 July 1998

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Fahmy HPastore FBriand LStifter T(2023)Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical SystemsACM Transactions on Software Engineering and Methodology10.1145/356993532:4(1-47)Online publication date: 27-May-2023
https://dl.acm.org/doi/10.1145/3569935
Aleryani ABostrom AWang WIglesia B(2023)Multiple Imputation Ensembles for Time Series (MIE-TS)ACM Transactions on Knowledge Discovery from Data10.1145/355164317:3(1-28)Online publication date: 22-Feb-2023
https://dl.acm.org/doi/10.1145/3551643
Van Zyl JEngelbrecht A(2022)Rule Induction Using Set-Based Particle Swarm Optimisation2022 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC55065.2022.9870360(1-8)Online publication date: 18-Jul-2022
https://dl.acm.org/doi/10.1109/CEC55065.2022.9870360
Junior JCano A(2022)An Explainable Classifier based on Genetically Evolved Graph Structures2022 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC55065.2022.9870293(01-08)Online publication date: 18-Jul-2022
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Alaoui AElberrichi Z(2020)Neuronal Communication Genetic Algorithm-Based Inductive LearningJournal of Information Technology Research10.4018/JITR.202004010913:2(141-154)Online publication date: 1-Apr-2020
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Grau ISengupta DGarcia Lorenzo MNowe A(2020)An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ48607.2020.9177549(1-8)Online publication date: 19-Jul-2020
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Prosperi MAzarian TJohnson JSalemi MMilicchio FOliva MShi XBuck MMa JVeltri P(2019)Unexpected Predictors of Antibiotic Resistance in Housekeeping Genes of Staphylococcus AureusProceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics10.1145/3307339.3342138(259-268)Online publication date: 4-Sep-2019
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Non-parametric particle swarm optimization for global optimization

An enhanced particle swarm optimization with levy flight for global optimization

On the performance of particle swarm optimisation without some control parameters for global optimisation

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