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Theoretical Characteristics on Scoring Function in Multi-dividing Setting.
- Source :
-
IAENG International Journal of Applied Mathematics . 2017, Vol. 47 Issue 1, p28-36. 9p. - Publication Year :
- 2017
-
Abstract
- The learning and optimizing of the scoring function are widely used in neural network, information retrieval and protein analysis. The multi-dividing ontology algorithms have drawn plenty of attention recent years. In this paper, we consider the Bayes-optimal scoring function in multi-dividing setting. By virtue of conditional risk, proper loss theory and derivative computing, we determine the scoring function in multi-dividing setting for certain special case. The results achieved in our paper illustrate the promising application prospects for multi-dividing ontology algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19929978
- Volume :
- 47
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IAENG International Journal of Applied Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- 121536668