Confidence and Support Classification Using Genetically Programmed Neural Logic Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{chia:cas:gecco2004,
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author = "Henry Wai-Kit Chia and Chew-Lim Tan",
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title = "Confidence and Support Classification Using
Genetically Programmed Neural Logic Networks",
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booktitle = "Genetic and Evolutionary Computation -- GECCO-2004,
Part II",
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year = "2004",
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editor = "Kalyanmoy Deb and Riccardo Poli and
Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and
Paul Darwen and Dipankar Dasgupta and Dario Floreano and
James Foster and Mark Harman and Owen Holland and
Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and
Dirk Thierens and Andy Tyrrell",
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series = "Lecture Notes in Computer Science",
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pages = "836--837",
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address = "Seattle, WA, USA",
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publisher_address = "Heidelberg",
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month = "26-30 " # jun,
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organisation = "ISGEC",
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publisher = "Springer-Verlag",
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volume = "3103",
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ISBN = "3-540-22343-6",
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ISSN = "0302-9743",
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DOI = "doi:10.1007/b98645",
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URL = "http://www.comp.nus.edu.sg/~tancl/Papers/GECCO2004/gecco04post.pdf",
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size = "2",
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keywords = "genetic algorithms, genetic programming, Poster",
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abstract = "Typical learning classifier systems employ conjunctive
logic rules for representing domain knowledge. The
classifier XCS is an extension of LCS with the ability
to learn boolean logic functions for data mining.
However, most data mining problems cannot be expressed
simply with boolean logic. Neural Logic Network
(Neulonet) learning is a technique that emulates the
complex human reasoning processes through the use of
net rules. Each neulonet is analogous to a learning
classifier that is rewarded using support and
confidence measures which are often used in
association-based classification. Empirical results
shows promise in terms of generalisation ability and
the comprehensibility of rules.",
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notes = "GECCO-2004 A joint meeting of the thirteenth
international conference on genetic algorithms
(ICGA-2004) and the ninth annual genetic programming
conference (GP-2004)",
- }
Genetic Programming entries for
Henry Wai-Kit Chia
Chew-Lim Tan
Citations