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» On Timed Models of Gene Networks
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143
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ICANN
2009
Springer
15 years 8 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
124
Voted
IWANN
1995
Springer
15 years 7 months ago
An Application of the Saturated Attractor Analysis to Three Typical Models
The saturated attractor analysis, an approach proposed first in [FP] for a comprehensive study of the dynamics of the Linsker model and then successfully applied to the dynamic li...
Jianfeng Feng, Brunello Tirozzi
143
Voted
ILP
2005
Springer
15 years 9 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
122
Voted
FPGA
1998
ACM
125views FPGA» more  FPGA 1998»
15 years 7 months ago
Timing Driven Floorplanning on Programmable Hierarchical Targets
The goal of this paper is to perform a timing optimization of a circuit described by a network of cells on a target structure whose connection delays have discrete values following...
S. A. Senouci, A. Amoura, Helena Krupnova, Gabriel...
176
Voted
ECRTS
2007
IEEE
15 years 10 months ago
Cache-Aware Timing Analysis of Streaming Applications
Of late, there has been a considerable interest in models, algorithms and methodologies specifically targeted towards designing hardware and software for streaming applications. ...
Samarjit Chakraborty, Tulika Mitra, Abhik Roychoud...