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» Selecting for evolvable representations
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EUROGP
2000
Springer
14 years 16 days ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
ESANN
2006
13 years 10 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
TOG
2012
193views Communications» more  TOG 2012»
11 years 11 months ago
Selectively de-animating video
We present a semi-automated technique for selectively deanimating video to remove the large-scale motions of one or more objects so that other motions are easier to see. The user ...
Jiamin Bai, Aseem Agarwala, Maneesh Agrawala, Ravi...
BC
2004
133views more  BC 2004»
13 years 8 months ago
Coevolution of active vision and feature selection
We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a...
Dario Floreano, Toshifumi Kato, Davide Marocco, Er...
IDA
2002
Springer
13 years 8 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer