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PPSN
2004
Springer
13 years 10 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
ESANN
2007
13 years 6 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
INFOCOM
2008
IEEE
13 years 11 months ago
Modeling Resource Sharing Dynamics of VoIP Users over a WLAN Using a Game-Theoretic Approach
—We consider a scenario in which users share an access point and are mainly interested in VoIP applications. Each user is allowed to adapt to varying network conditions by choosi...
Edson H. Watanabe, Daniel S. Menasché, Edmu...
ICCCN
2008
IEEE
13 years 11 months ago
Energy Minimization through Network Coding for Lifetime Constrained Wireless Networks
— Energy management is the key issue in the design and operation of wireless network applications like sensor networks, pervasive computing and ubiquitous computing where the net...
Nishanth Gaddam, Sudha Anil Gathala, David Lastine...
LCN
2005
IEEE
13 years 10 months ago
GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks
Wireless mesh based access networks are destined to play a pivotal role in next generation broadband systems. With the proliferation of mesh networks, a key issue for network desi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...