A Literature Review on Hierarchical Naive Bayes Classifier
نویسندگان
چکیده
منابع مشابه
The Indifferent Naive Bayes Classifier
The Naive Bayes classifier is a simple and accurate classifier. This paper shows that assuming the Naive Bayes classifier model and applying Bayesian model averaging and the principle of indifference, an equally simple, more accurate and theoretically well founded classifier can be obtained. Introduction In this paper we use Bayesian model averaging and the principle of indifference to derive a...
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Naive Bayes classifiers can be seen as special probabilistic networks with a star-like structure. They can easily be induced from a dataset of sample cases. However, as most probabilistic approaches, they run into problems, if imprecise (i.e, set-valued) information in the data to learn from has to be taken into account. An approach to handle uncertain as well imprecise information, which recen...
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The 1998 KDD Data cup provides a large dataset that has a number of features which can be learned to attempt to predict potential respondents to a mailing. It is our goal to show that the naive Bayes classifier may be accurate enough to successfully choose who will reply to the mailing. By using cross validation, we hope to establish a basis for the expected performance. We also analyze the spa...
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ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2019
ISSN: 2321-9653
DOI: 10.22214/ijraset.2019.4032