default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDInformation Sciences, Volume 217
Volume 217, December 2012
- Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng
, Chih-Min Lin, James N. K. Liu:
Dynamic fusion method using Localized Generalization Error Model. 1-20 - Min Tang, Xia Chen, Weidong Hu, Wenxian Yu:
Generation of a probabilistic fuzzy rule base by learning from examples. 21-30 - Mikko I. Malinen, Pasi Fränti:
Clustering by analytic functions. 31-38 - Naif Alajlan, Yakoub Bazi, Farid Melgani, Ronald R. Yager:
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images. 39-55 - Chia-Hui Huang:
A reduced support vector machine approach for interval regression analysis. 56-64 - Ekrem Duman, Mitat Uysal, Ali Fuat Alkaya:
Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem. 65-77 - Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A preference learning approach to sentence ordering for multi-document summarization. 78-95 - Tribeni Prasad Banerjee, Swagatam Das:
Multi-sensor data fusion using support vector machine for motor fault detection. 96-107 - Xiaoxia Huang, Lei Qiao:
A risk index model for multi-period uncertain portfolio selection. 108-116 - Tinggang Jia, Yugang Niu, Yuanyuan Zou:
Sliding mode control for stochastic systems subject to packet losses. 117-126
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 01:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
