Evolutionary Learning with Cross-Class Knowledge Reuse for Handwritten Character Recognition
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Jaskowski:2007:PL,
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author = "Wojciech Jaskowski and Krzysztof Krawiec and
Bartosz Wieloch",
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title = "Evolutionary Learning with Cross-Class Knowledge Reuse
for Handwritten Character Recognition",
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booktitle = "proceedings of the Planning to learn workshop,
PlanLearn-07",
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year = "2007",
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address = "Warsaw, Poland",
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month = sep # " 17",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.ecmlpkdd2007.org/CD/workshops/PlanLearn/WS_PlanLearn_p2/WS_PlanLearn_p2.pdf",
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abstract = "We propose a learning algorithm that reuses knowledge
acquired in past learning sessions to improve its
performance on a new learning task. The method concerns
visual learning and uses genetic programming to
represent hypotheses, each of them being a procedure
that processes visual primitives derived from the
training images. The process of recognition is
generative, i.e., a procedure is supposed to restore
the shape of the processed object by drawing its
reproduction on a separate canvas. This basic method is
extended with a knowledge reuse mechanism that allows
learners to import genetic material from hypotheses
that evolved for the other decision classes (object
classes). We compare both methods on a task of
handwritten character recognition, and conclude that
knowledge reuse leads to significant improvement of
classification accuracy and reduces the risk of
overfitting.",
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notes = "Institute of Computing Science, Poznan University of
Technology Piotrowo 2, 60965 Pozna, Poland",
- }
Genetic Programming entries for
Wojciech Jaskowski
Krzysztof Krawiec
Bartosz Wieloch
Citations