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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 11 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
GECCO
2009
Springer
15 years 11 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 10 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
ECIS
2001
15 years 7 months ago
Thirty Years Later: The Informational and the Evolution of Consciousness
The paper deals with the development of the informational since the IFIP '71 Congress in Ljubljana when the new consciousness evolved to the necessity of nowadays information...
Anton P. Zeleznikar
CSUR
2004
149views more  CSUR 2004»
15 years 6 months ago
A review of vessel extraction techniques and algorithms
Vessel segmentation algorithms are the critical components of circulatory blood vessel analysis systems. We present a survey of vessel extraction techniques and algorithms. We put ...
Cemil Kirbas, Francis K. H. Quek
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