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NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 9 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
KES
2010
Springer
14 years 8 months ago
Evolving takagi sugeno modelling with memory for slow processes
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
Simon McDonald, Plamen P. Angelov
WSTST
2005
Springer
15 years 3 months ago
Soft Modeling of Group Dynamics and Behavioral Attributes
: Social networks, religion and culture of human beings play a major role in the day-to-day activities performed by each individual in group oriented missions. The aggregation and ...
Soumya Banerjee, Ajith Abraham, Sang-Yong Han, P. ...
ICDE
2004
IEEE
111views Database» more  ICDE 2004»
15 years 11 months ago
Modeling Uncertainties in Publish/Subscribe Systems
In the publish/subscribe paradigm, information providers disseminate publications to all consumers who have expressed interest by registering subscriptions. This paradigm has foun...
Haifeng Liu, Hans-Arno Jacobsen
IJIT
2004
14 years 11 months ago
Mobile Robot Navigation Using Local Model Networks
Developing techniques for mobile robot navigation constitutes one of the major trends in the current research on mobile robotics. This paper develops a local model network (LMN) fo...
Hamdi A. Awad, Mohamed A. Al-Zorkany