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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 4 days ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 4 days ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
16 years 4 days ago
XCS for robust automatic target recognition
A primary strength of the XCS approach is its ability to create maximally accurate general rules. In automatic target recognition (ATR) there is a need for robust performance beyo...
B. Ravichandran, Avinash Gandhe, Robert E. Smith
HIPC
2005
Springer
16 years 4 days ago
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
Haimonti Dutta, Hillol Kargupta, Anupam Joshi
ICIAR
2005
Springer
16 years 4 days ago
Unequal Error Protection Using Convolutional Codes for PCA-Coded Images
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
Sabina Hosic, Aykut Hocanin, Hasan Demirel
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