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Instance Metrics Improvement by Probabilistic Support

  • Conference paper
MICAI 2000: Advances in Artificial Intelligence (MICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1793))

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Abstract

The use of distance functions in order to determine nearest instance class at Memory Based Learning methods may be crucial when there are no exact matchings. We add relative information over unknown feature values to improve the information extract on the training instances. An experiment was carried out for Spanish Part-Of-Speech tagging of unknown words finding a better performance with our modified function.

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© 2000 Springer-Verlag Berlin Heidelberg

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Jiménez, H., Morales, G. (2000). Instance Metrics Improvement by Probabilistic Support. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_62

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  • DOI: https://doi.org/10.1007/10720076_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67354-5

  • Online ISBN: 978-3-540-45562-2

  • eBook Packages: Springer Book Archive

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