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BMCBI
2005
122views more  BMCBI 2005»
15 years 1 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
JCNS
2007
89views more  JCNS 2007»
15 years 1 months ago
Synchronous and asynchronous bursting states: role of intrinsic neural dynamics
Brain signals such as local field potentials often display gamma-band oscillations (30–70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect sy...
Takashi Takekawa, Toshio Aoyagi, Tomoki Fukai
AI
2002
Springer
15 years 1 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
BC
2004
133views more  BC 2004»
15 years 1 months ago
Coevolution of active vision and feature selection
We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a...
Dario Floreano, Toshifumi Kato, Davide Marocco, Er...
DEDS
2000
83views more  DEDS 2000»
15 years 1 months ago
Synthesis of Discrete-Event Controllers Based on the Signal Environment
In this paper, we present the integration of controller synthesis techniques in the SIGNAL environment through the description of a tool dedicated to the incremental construction o...
Hervé Marchand, Patricia Bournai, Michel Le...