On the application of GP to streaming data classification tasks with label budgets
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Vahdat:2014:GECCOcomp,
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author = "Ali Vahdat and Aaron Atwater and
Andrew R. McIntyre and Malcolm I. Heywood",
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title = "On the application of GP to streaming data
classification tasks with label budgets",
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booktitle = "GECCO 2014 Workshop on Evolutionary Computation for
Big Data and Big Learning",
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year = "2014",
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editor = "Jaume Bacardit and Ignacio Arnaldo and
Kalyan Veeramachaneni and Una-May O'Reilly",
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isbn13 = "978-1-4503-2881-4",
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keywords = "genetic algorithms, genetic programming",
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pages = "1287--1294",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Vancouver, BC, Canada",
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URL = "http://doi.acm.org/10.1145/2598394.2611385",
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DOI = "doi:10.1145/2598394.2611385",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "A framework is introduced for applying GP to streaming
data classification tasks under label budgets. This is
a fundamental requirement if GP is going to adapt to
the challenge of streaming data environments. The
framework proposes three elements: a sampling policy, a
data subset and a data archiving policy. The sampling
policy establishes on what basis data is sampled from
the stream, and therefore when label information is
requested. The data subset is used to define what GP
individuals evolve against. The composition of such a
subset is a mixture of data forwarded under the
sampling policy and historical data identified through
the data archiving policy. The combination of sampling
policy and the data subset achieve a decoupling between
the rate at which the stream passes and the rate at
which evolution commences. Benchmarking is performed on
two artificial data sets with specific forms of sudden
shift and gradual drift as well as a well known
real-world data set.",
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notes = "Also known as \cite{2611385} Distributed at
GECCO-2014.",
- }
Genetic Programming entries for
Ali Vahdat
Aaron Atwater
Andrew R McIntyre
Malcolm Heywood
Citations