An integrated algorithm of Liu's generalized Lambda-measure based Choquet integral and hurst exponent

Hsiang Chuan Liu, Hsien-Chang Tsai, Yu Ting Cheng, Yen Kuei Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a novel integrated algorithm of Choquet integral with respect to Liu's generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu's generalized Lambda-measure has the best performance.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012
Pages90-95
Number of pages6
DOIs
Publication statusPublished - 2012 May 24
Event2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012 - Taipei, Taiwan
Duration: 2012 Mar 262012 Mar 29

Other

Other2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012
CountryTaiwan
CityTaipei
Period12-03-2612-03-29

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All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science Applications

Cite this

Liu, H. C., Tsai, H-C., Cheng, Y. T., & Yu, Y. K. (2012). An integrated algorithm of Liu's generalized Lambda-measure based Choquet integral and hurst exponent. In Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012 (pp. 90-95). [6189635] https://doi.org/10.1109/ISBAST.2012.32