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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 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
RE
2006
Springer
15 years 6 months ago
On Goal-based Variability Acquisition and Analysis
We introduce a variability-intensive approach to goal decomposition that is tailored to support requirements identification for highly customizable software. The approach is based...
Sotirios Liaskos, Alexei Lapouchnian, Yijun Yu, Er...
SIGPRO
2008
136views more  SIGPRO 2008»
15 years 6 months ago
Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...
IJSEKE
2007
120views more  IJSEKE 2007»
15 years 6 months ago
User Profiling in the Chronobot/Virtual Classroom System
The Chronobot/Virtual Classroom (CVC) system is a novel time knowledge exchange platform where any pair of users can exchange their time and knowledge. User profile that contains ...
Xin Li, Shi-Kuo Chang
TIFS
2008
154views more  TIFS 2008»
15 years 6 months ago
On the Distinguishability of Distance-Bounded Permutations in Ordered Channels
Ordered channels, such as those provided by Internet protocol and transmission control protocol protocols, rely on sequence numbers to recover from packet reordering due to network...
Juan M. Estévez-Tapiador, Julio Césa...