An analysis of the Solution Space for Genetically Programmed Term-Weighting Schemes in Information Retrieval
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Cummins:2006:AICS,
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author = "Ronan Cummins and Colm O'Riordan",
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title = "An analysis of the Solution Space for Genetically
Programmed Term-Weighting Schemes in Information
Retrieval",
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booktitle = "17th Irish Artificial Intelligence and Cognitive
Science Conference (AICS 2006)",
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year = "2006",
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editor = "D. A. Bell",
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address = "Queen's University, Belfast",
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month = "11th-13th " # sep,
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organisation = "Artificial Intelligence Association of Ireland",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://ir.dcs.gla.ac.uk/~ronanc/papers/cumminsAICS06.pdf",
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size = "10 pages",
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abstract = "Evolutionary algorithms and Genetic Programming (GP)
in particular are increasingly being applied to the
problem of evolving term-weighting schemes in
Information Retrieval (IR). One fundamental problem
with the solutions generated by this stochastic,
non-deterministic process is that they are often
difficult to analyse. We develop a number of different
distance measures between the phenotypes (ranked lists)
of the solutions (term-weighting schemes) returned by a
GP process. Using these distance measures, we develop
trees which show how different solutions are clustered
in the solution space. Using this framework we show
that our evolved solutions lie in a different part of
the solution space than two of the best benchmark
term-weighting schemes available.",
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notes = "http://www.cs.qub.ac.uk/aics06/aics.html",
- }
Genetic Programming entries for
Ronan Cummins
Colm O'Riordan
Citations