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» Recurrent neural networks in systems identification
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BIOCOMP
2008
13 years 9 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
IJCAI
2007
13 years 9 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
BMCBI
2007
179views more  BMCBI 2007»
13 years 7 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
NIPS
2004
13 years 8 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
ICRA
1994
IEEE
100views Robotics» more  ICRA 1994»
13 years 11 months ago
SM2 for New Space Station Structure: Autonomous Locomotion and Teleoperation Control
The Self-Mobile Space Manipulator (SM2) has evolved to adapt to the new pre-integrated I-beam structure of the Space Station Freedom (SSF). In this paper, we first briefly overvie...
Michael C. Nechyba, Yangsheng Xu