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AICOM
2002
103views more  AICOM 2002»
13 years 7 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
AIEDAM
2008
102views more  AIEDAM 2008»
13 years 7 months ago
Machine invention of quantum computing circuits by means of genetic programming
We demonstrate the use of genetic programming in the automatic invention of quantum computing circuits that solve problems of potential theoretical and practical significance. We ...
Lee Spector, Jon Klein
COLT
2008
Springer
13 years 9 months ago
Time Varying Undirected Graphs
Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using 1 penalization methods. However, current m...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
IJCNN
2008
IEEE
14 years 2 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
EPS
1995
Springer
13 years 11 months ago
An Evolutionary Programming Approach to Self-Adaptation on Finite State Machines
Evolutionary programming was first offered as an alternative method for generating artificial intelligence. Experiments were offered in which finite state machines were used to...
Lawrence J. Fogel, Peter J. Angeline, David B. Fog...