Evolutionary Learning with Cross-Class Knowledge Reuse for Handwritten Character Recognition

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Jaskowski:2007:PL,

• author = "Wojciech Jaskowski and Krzysztof Krawiec and Bartosz Wieloch",
• title = "Evolutionary Learning with Cross-Class Knowledge Reuse for Handwritten Character Recognition",
• booktitle = "proceedings of the Planning to learn workshop, PlanLearn-07",
• year = "2007",
• address = "Warsaw, Poland",
• month = sep # " 17",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.ecmlpkdd2007.org/CD/workshops/PlanLearn/WS_PlanLearn_p2/WS_PlanLearn_p2.pdf",
• 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.",
• 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