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» Evolving Artificial Neural Networks that Develop in Time
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ALIFE
2004
14 years 11 months ago
Adaptability and Diversity in Simulated Turn-taking Behavior
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outpu...
Hiroyuki Iizuka, Takashi Ikegami
ESANN
2006
15 years 1 months ago
Immune Network based Ensembles
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
Nicolás García-Pedrajas, Colin Fyfe
INFOCOM
2010
IEEE
14 years 10 months ago
Resource Allocation over Network Dynamics without Timescale Separation
—We consider a widely applicable model of resource allocation where two sequences of events are coupled: on a continuous time axis (t), network dynamics evolve over time. On a di...
Alexandre Proutiere, Yung Yi, Tian Lan, Mung Chian...
INFSOF
2007
139views more  INFSOF 2007»
14 years 11 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...
NIPS
2001
15 years 1 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green