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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 1 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
MIDDLEWARE
2007
Springer
16 years 29 days ago
A node discovery service for partially mobile sensor networks
Wireless Sensor Networks (WSNs) are challenging types of networks where resources can be scarce. In particular, battery is often a very limited resource and the radio interface is...
Vladimir Dyo, Cecilia Mascolo
ALT
2010
Springer
15 years 8 months ago
Inferring Social Networks from Outbreaks
We consider the problem of inferring the most likely social network given connectivity constraints imposed by observations of outbreaks within the network. Given a set of vertices ...
Dana Angluin, James Aspnes, Lev Reyzin
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 8 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
BMCBI
2006
118views more  BMCBI 2006»
15 years 6 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...