DocumentCode
2017724
Title
Relationship between mixture of experts and ensemble neural networks
Author
Guo, Ping ; Xu, Lei
Author_Institution
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
1
fYear
1999
fDate
1999
Firstpage
246
Abstract
In this paper, the relationship between mixture of experts (ME) and the ensemble neural networks is discussed. We show that a special case of the ME reduces to the ensemble nets, and thus the weighting parameters of the ensemble nets can be obtained through the EM algorithm
Keywords
learning (artificial intelligence); neural nets; EM algorithm; ensemble neural networks; learning; mixture of experts; weighting parameters; Computer science; Density functional theory; Equations; Input variables; Maximum likelihood estimation; Neural networks; Parameter estimation; Partitioning algorithms; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.843994
Filename
843994
Link To Document