article

Selection of relevant features and examples in machine learning

Authors:

Avrim L. Blum,

Pat LangleyAuthors Info & Claims

Artificial Intelligence, Volume 97, Issue 1-2

Pages 245 - 271

https://doi.org/10.1016/S0004-3702(97)00063-5

Published: 01 December 1997 Publication History

Abstract

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Chen HYu QYang GZhang HLi GChen QLi Y(2025)Compound strategy based binary willow catkin optimization for feature selectionCluster Computing10.1007/s10586-024-04879-528:3Online publication date: 1-Jun-2025
https://dl.acm.org/doi/10.1007/s10586-024-04879-5
Mandal AChakraborty B(2025)Quantum computing and quantum-inspired techniques for feature subset selection: a reviewKnowledge and Information Systems10.1007/s10115-024-02282-567:3(2019-2061)Online publication date: 1-Mar-2025
https://dl.acm.org/doi/10.1007/s10115-024-02282-5
Boschi TBonin FOrdonez-Hurtado RPascale AEpperlein JSalakhutdinov RKolter ZHeller KWeller AOliver NScarlett JBerkenkamp F(2024)A new computationally efficient algorithm to solve feature selection for functional data classification in high-dimensional spacesProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3692245(4383-4402)Online publication date: 21-Jul-2024
https://dl.acm.org/doi/10.5555/3692070.3692245
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Index Terms

Selection of relevant features and examples in machine learning
1. Computing methodologies
  1. Machine learning
  2. Modeling and simulation
    1. Simulation theory
      1. Systems theory
2. Mathematics of computing
  1. Information theory

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Information

Published In

Artificial Intelligence Volume 97, Issue 1-2

Special issue on relevance

Dec. 1997

385 pages

ISSN:0004-3702

Editors:
Daniel G. Bobrow
Xerox Corp., Palo Alto, CA
,
Devika Subramanian
Rice Univ., Houston, TX
,
Russell Greiner
Siemans Corporate Research, Inc., Princeton, NJ
,
Judea Pearl
Univ. of California, Los Angeles

Issue’s Table of Contents

Publisher

Elsevier Science Publishers Ltd.

United Kingdom

Publication History

Published: 01 December 1997

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Chen HYu QYang GZhang HLi GChen QLi Y(2025)Compound strategy based binary willow catkin optimization for feature selectionCluster Computing10.1007/s10586-024-04879-528:3Online publication date: 1-Jun-2025
https://dl.acm.org/doi/10.1007/s10586-024-04879-5
Mandal AChakraborty B(2025)Quantum computing and quantum-inspired techniques for feature subset selection: a reviewKnowledge and Information Systems10.1007/s10115-024-02282-567:3(2019-2061)Online publication date: 1-Mar-2025
https://dl.acm.org/doi/10.1007/s10115-024-02282-5
Boschi TBonin FOrdonez-Hurtado RPascale AEpperlein JSalakhutdinov RKolter ZHeller KWeller AOliver NScarlett JBerkenkamp F(2024)A new computationally efficient algorithm to solve feature selection for functional data classification in high-dimensional spacesProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3692245(4383-4402)Online publication date: 21-Jul-2024
https://dl.acm.org/doi/10.5555/3692070.3692245
Silkhi HBakkas BHousni K(2024)Comparative Analysis of Rule-Based Chatbot Development Tools for Education Orientation: A RAD ApproachProceedings of the 7th International Conference on Networking, Intelligent Systems and Security10.1145/3659677.3659825(1-7)Online publication date: 18-Apr-2024
https://dl.acm.org/doi/10.1145/3659677.3659825
Wang YMo RZhang Y(2024)Machine Learning-based Models for Predicting Defective PackagesProceedings of the 2024 8th International Conference on Machine Learning and Soft Computing10.1145/3647750.3647755(25-31)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3647750.3647755
Zhou QWang QGao QYang MGao X(2024)Unsupervised Discriminative Feature Selection via Contrastive Graph LearningIEEE Transactions on Image Processing10.1109/TIP.2024.335357233(972-986)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2024.3353572
Li CHuang LShao YGuo TMao Y(2024)Feature selection by Universum embeddingPattern Recognition10.1016/j.patcog.2024.110514153:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.patcog.2024.110514
Suárez-Marcote SMorán-Fernández LBolón-Canedo V(2024)Towards federated feature selectionNeurocomputing10.1016/j.neucom.2024.128099596:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.neucom.2024.128099
Szeghalmy SFazekas A(2024)A comparative study on noise filtering of imbalanced data setsKnowledge-Based Systems10.1016/j.knosys.2024.112236301:COnline publication date: 9-Oct-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.112236
Frey MEvans TFolz AGregg MQuimby JRezac J(2024)Anomalous state detection in radio access networksJournal of Network and Computer Applications10.1016/j.jnca.2024.103979231:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.jnca.2024.103979
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Machine learning from examples: inductive and lazy methods

Machine Learning: The State of the Art

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