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» Neural Dynamics with Stochasticity
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FMSB
2008
129views Formal Methods» more  FMSB 2008»
15 years 8 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...
TCS
2008
15 years 6 months ago
On process rate semantics
We provide translations between process algebra and systems of chemical reactions. We show that the translations preserve discrete-state (stochastic) and continuous-state (concent...
Luca Cardelli
PPSN
2010
Springer
15 years 4 months ago
Negative Drift in Populations
An important step in gaining a better understanding of the stochastic dynamics of evolving populations, is the development of appropriate analytical tools. We present a new drift t...
Per Kristian Lehre
ICIP
1999
IEEE
16 years 8 months ago
Video Sequence Learning and Recognition Via Dynamic Som
Information contained in the video sequences is crucial for an autonomous robot or a computer to learn and respond to its surrounding environment. In the past, robot vision is mai...
Qiong Liu, Yong Rui, Thomas S. Huang, Stephen E. L...
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
16 years 28 days ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull