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A default First Order Family Weight Determination Procedure for WPDV Models

Weighted Probability Distribution Voting (WPDV) is a newly designed machine learning algorithm, for which research is currently aimed at the determination of good weighting schemes. This paper describes a simple yet effective weight determination procedure, which leads to models that can produce competitive results for a number of NLP classification tasks.


Hans van Halteren, A default First Order Family Weight Determination Procedure for WPDV Models. In: Proceedings of CoNLL-2000 and LLL-2000, Lisbon, Portugal, 2000. [ps] [pdf] [bibtex]
Last update: June 27, 2001. erikt@uia.ua.ac.be