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» Evolving Artificial Neural Networks that Develop in Time
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NIPS
2001
13 years 8 months ago
Improvisation and Learning
This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Enti...
Judy A. Franklin
ICAISC
2004
Springer
14 years 23 days ago
Requirements and Solutions for Web-Based Expert System
The advent of the Internet has strongly influenced modern software systems. Existing intranet solutions are being gradually replaced with www services available everywhere and at ...
Maciej Grzenda, Marcin Niemczak
JMLR
2012
11 years 9 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 11 months ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung
INFOCOM
2011
IEEE
12 years 10 months ago
A real-time multicast routing scheme for multi-hop switched fieldbuses
—The rapid scaling up of Networked Control Systems (NCS) is forcing traditional single-hop shared medium industrial fieldbuses (a.k.a. fieldbuses) to evolve toward multi-hop sw...
Lixiong Chen, Xue Liu, Qixin Wang, Yufei Wang