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Linear discriminant analysis using genetic algorithms

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Aaron H. KonstamAuthors Info & Claims

SAC '93: Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice

Pages 152 - 156

https://doi.org/10.1145/162754.162848

Published: 01 March 1993 Publication History

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Cited By

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Jarvis RGoodacre R(2004)Genetic algorithm optimization for pre-processing and variable selection of spectroscopic dataBioinformatics10.1093/bioinformatics/bti10221:7(860-868)Online publication date: 28-Oct-2004
https://doi.org/10.1093/bioinformatics/bti102
Konstam AGeorge KLamong G(1998)Group classification using a mix of genetic programming and genetic algorithmsProceedings of the 1998 ACM symposium on Applied Computing10.1145/330560.330712(308-312)Online publication date: 27-Feb-1998
https://dl.acm.org/doi/10.1145/330560.330712
Konstam ABerghel HHlengl TUrban J(1994)N-group classification using genetic algorithmsProceedings of the 1994 ACM symposium on Applied computing10.1145/326619.326725(212-216)Online publication date: 6-Apr-1994
https://dl.acm.org/doi/10.1145/326619.326725

Index Terms

Linear discriminant analysis using genetic algorithms
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Neural networks
2. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
    2. Machine learning approaches
      1. Classification and regression trees
      2. Neural networks

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SAC '93: Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice

March 1993

804 pages

ISBN:0897915674

DOI:10.1145/162754

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 March 1993

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SAC93: 1993 Symposium on Applied Computing

February 14 - 16, 1993

Indiana, Indianapolis, USA

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all

Jarvis RGoodacre R(2004)Genetic algorithm optimization for pre-processing and variable selection of spectroscopic dataBioinformatics10.1093/bioinformatics/bti10221:7(860-868)Online publication date: 28-Oct-2004
https://doi.org/10.1093/bioinformatics/bti102
Konstam AGeorge KLamong G(1998)Group classification using a mix of genetic programming and genetic algorithmsProceedings of the 1998 ACM symposium on Applied Computing10.1145/330560.330712(308-312)Online publication date: 27-Feb-1998
https://dl.acm.org/doi/10.1145/330560.330712
Konstam ABerghel HHlengl TUrban J(1994)N-group classification using genetic algorithmsProceedings of the 1994 ACM symposium on Applied computing10.1145/326619.326725(212-216)Online publication date: 6-Apr-1994
https://dl.acm.org/doi/10.1145/326619.326725

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