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GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 6 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
86
Voted
DOLAP
1999
ACM
15 years 6 months ago
Dealing with Slow-Evolving Fact: A Case Study on Inventory Data Warehousing
Data Warehousing for INventory management DWIN is a production project at Telcordia aimed at providing telecommunications service providers with decision support functions for i...
Chung-Min Chen, Munir Cochinwala, Elsa Yueh
SIGGRAPH
1994
ACM
15 years 6 months ago
Evolving virtual creatures
This paper describes a novel system for creating virtual creatures that move and behave in simulated three-dimensional physical worlds. The morphologies of creatures and the neura...
Karl Sims
ICASSP
2010
IEEE
15 years 2 months ago
Optimal gain control for single-carrier communications with uniform quantization at the receiver
The achievable rate of digital communications systems can strongly depend on the analog-to-digital conversion at the receiver. It is hence important to adjust the gain control at ...
Stefan Krone, Gerhard Fettweis
132
Voted
ICPR
2004
IEEE
16 years 3 months ago
Joint Spatial and Temporal Structure Learning for Task based Control
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Hilary Buxton, Kingsley Sage