Increase statistical reliability without losing predictive power by merging classes and adding variables-Reference-Cited by-同舟云学术

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Increase statistical reliability without losing predictive power by merging classes and adding variables

Published:2017-04 Issue:4 Volume:1 Page:341-347
ISSN:2380-6966
Container-title:Big Data and Information Analytics
language:en
Short-container-title:BDIA

Author:

Pan Yuanyi,Li Xiaofeng,Huang Wenxue

Publisher

American Institute of Mathematical Sciences (AIMS)

Link

https://www.aimspress.com/article/10.3934/bdia.2016014/pdf

Reference17 articles.

1. Criteria for measure of association,;H. L. Costner;American Sociology Review,1965

2. Feature selection for classification,;M. Dash;Intell. Data. Anal.,1997

3. Estimation of the reliability of ratings,;R. L. Ebel;Psychomereika,1951

4. Monte Carlo: Concepts, Algorithms, and Applications,;G. S. Fisher;Springer-Verlag,1996

5. Monte Carlo Method in Financial Engineering,;P. Glasserman;(Stochastic Modelling and Applied Probability) (V. 53),2004

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A category-based probabilistic approach to feature selection;Big Data and Information Analytics;2017

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