Grabbing the Long Tail: A Data Normalization Method for Diverse and Informative Dialogue Generation

2021 ◽  
Author(s):  
Zhiqiang Zhan ◽  
Jianyu Zhao ◽  
Yang Zhang ◽  
Jiangtao Gong ◽  
Qianying Wang ◽  
...  
SpringerPlus ◽  
2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Mingjie Chen ◽  
R Shyama Prasad Rao ◽  
Yiming Zhang ◽  
Cathy Xiaoyan Zhong ◽  
Jay J Thelen

2016 ◽  
Vol 63 (1) ◽  
pp. 7-18 ◽  
Author(s):  
Marek Walesiak

In multidimensional scaling carried out on the basis of metric data matrix (interval, ratio) one of the stages is the choice of the variable normalization method. The R package clusterSim with data. Normalization function has been developed for that purpose. It provides 18 data normalization methods. In this paper the proposal of procedure which allows to isolate groups of normalization methods that lead to similar multidimensional scaling results were presented. The proposal can reduce the problem of choosing the normalization method in multidimensional scaling. The results are illustrated via empirical example.


Eidos ◽  
1970 ◽  
pp. 47
Author(s):  
Tatiana Lapina

Some non-conventional methods of model identification based on data normalization are presented In the article. The named methods are used for tendencies approximation and forecasting, and moments of the stochastic process properties divergence identification in case of providing stability of a technical process. 


2010 ◽  
Vol 11 (10) ◽  
pp. 778-784 ◽  
Author(s):  
Long-zheng Cai ◽  
Jian Chen ◽  
Yun Ke ◽  
Tao Chen ◽  
Zhi-gang Li

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