Now 8610 visitors
Today:0 Yesterday:0
Total: 143282 216S 51P 5R
2026-10-21, Week 43
Member Login
TACT Journal Homepage
Call for Paper
Committee
Find My Paper
Author Homepage
Statistics & History
Welcome Message
Paper Procedure
FAQ
Paper Archives
Outstanding Papers
Program & Proceedings
Presentation Platform
Hotel & Travel Info
Photo Gallery
Scheduler Login
Seminar
Archives Login
Sponsors


















Virual Oral Question and Answer
IEEE/ICACT20210143 Question.1
Questioner: xiaochunyin@wfust.edu.cn    2021-02-09 오후 4:06:05 		IEEE/ICACT20210143 Answer.1
Answer by Auhor st.lzg@163.com   2021-02-09 오후 4:06:05
Could authors give more description about "Enhanced information entropy"? Thanks for questions. In order to use entropy in feature extraction, conditional probability is introduced into entropy definition. Now entropy is calculated based on event probability. Every feature value is treated as event. Thus, event entropy means the distribution of value. And we define S(i, l), which means the entropy of i-th feature value in single classification of l.

Select Voice