Text prediction method based on multi-label attributes and improved maximum entropy model

Yin, Yawei; Feng, Dan; Li, Yue; Yin, Shuifang; Shi, Zhan

doi:10.3233/jifs-169403

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“…Article [23] designed a new prediction technique based on nonlinear combined AWNG-BP. Article [24] proposed a text prediction method based on multi-label attributes and improved maximum entropy model. Article [25] analyzed the reliability of network security risk factors based on D-S evidence theory.…”

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confidence: 99%

Artificial intelligent techniques and its applications

Sundhararajan

Gao

Nejad

2018

IFS

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These papers have been reviewed and accepted for presentation at the conference and for publication in the Journal of Intelligent & Fuzzy Systems (JIFS). In this special issue there are 50 papers covering a wide range of tools, techniques and applications of artificial intelligent techniques and applications. The International conference on Intelligent Systems Technologies and Applications aims to bring together researchers in related fields to explore and discuss various aspects of intelligent systems technologies and their applications. It provides excellent opportunities for the presentation of interesting new research results and discussion about them,

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confidence: 99%