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» A Hybrid Component-Based System Development Process
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 11 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
CORR
2004
Springer
142views Education» more  CORR 2004»
13 years 7 months ago
Modeling and Validating Hybrid Systems Using VDM and Mathematica
Hybrid systems are characterized by the hybrid evolution of their state: A part of the state changes discretely, the other part changes continuously over time. Typically, modern c...
Bernhard K. Aichernig, Reinhold Kainhofer
ACSC
2000
IEEE
13 years 12 months ago
Building Hybrid Knowledge Representations from Text
A significant obstacle to the development of intelligent natural language processing systems is the lack of rich knowledge bases containing representations of world knowledge. Fo...
Josef Meyer, Robert Dale
RTSS
2005
IEEE
14 years 1 months ago
Event Count Automata: A State-Based Model for Stream Processing Systems
Recently there has been a growing interest in models and methods targeted towards the (co)design of stream processing applications; e.g. those for audio/video processing. Streams ...
Samarjit Chakraborty, Linh T. X. Phan, P. S. Thiag...
HYBRID
2004
Springer
14 years 24 days ago
Modeling Subtilin Production in Bacillus subtilis Using Stochastic Hybrid Systems
The genetic network regulating the biosynthesis of subtilin in Bacillus subtilis is modeled as a stochastic hybrid system. The continuous state of the hybrid system is the concentr...
Jianghai Hu, Wei Chung Wu, Shankar Sastry