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ESANN
2007
15 years 8 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
TMC
2010
108views more  TMC 2010»
15 years 5 months ago
Radio Tomographic Imaging with Wireless Networks
—Radio Tomographic Imaging (RTI) is an emerging technology for imaging passive objects (objects that do not carry a transmitting device) with wireless networks. This paper presen...
Joey Wilson, Neal Patwari
214
Voted
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 11 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
IJNM
2008
131views more  IJNM 2008»
15 years 7 months ago
Using temporal correlation for fault localization in dynamically changing networks
A mobile ad-hoc network creates a dynamic environment where node mobility can cause periodic changes in routes. Most existing fault localization algorithms assume availability of ...
Maitreya Natu, Adarshpal S. Sethi
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
16 years 2 days ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim