A Default First Order Family Weight Determination Procedure for WPDV Models
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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.
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