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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
14 years 11 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
14 years 11 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
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GIS
2008
ACM
14 years 11 months ago
Automatic extraction of road intersection position, connectivity, and orientations from raster maps
The road network is one of the most important types of information on raster maps. In particular, the set of road intersection templates, which consists of the road intersection p...
Yao-Yi Chiang, Craig A. Knoblock
AAAI
2010
14 years 10 months ago
Biped Walk Learning Through Playback and Corrective Demonstration
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Çetin Meriçli, Manuela M. Veloso
DAC
2010
ACM
14 years 10 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...
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