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IJCNN
2006
IEEE
15 years 8 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
IROS
2006
IEEE
133views Robotics» more  IROS 2006»
15 years 8 months ago
Adapting Playgrounds for Children's Play using Ambient Playware
— This paper presents an approach on how to adapt playgrounds using artificial neural networks (ANN). The playground consists of small tiles each capable of outputting coloured ...
Alireza Derakhshan, Frodi Hammer, Henrik Hautop Lu...
WISE
2006
Springer
15 years 8 months ago
Finding Reliable Recommendations for Trust Model
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the user...
Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Ko...
EEE
2005
IEEE
15 years 8 months ago
Predicting the Survival or Failure of Click-and-Mortar Corporations
With the boom in e-business, several corporations have emerged in the late nineties that have primarily conducted their business through the Internet and the Web. They have come t...
Indranil Bose, Raktim Pal
104
Voted
EUROPAR
2005
Springer
15 years 8 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...