<?xml version="1.0" standalone="yes"?>
<Paper uid="W00-0724">
  <Title>Comparison Naive Bayes</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"/>
    <Section position="1" start_page="0" end_page="0" type="sub_section">
      <SectionTitle>
Weighted Probability Distribution Voting
</SectionTitle>
      <Paragraph position="0"> (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.</Paragraph>
    </Section>
  </Section>
class="xml-element"></Paper>