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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...
RAS
2002
168views more  RAS 2002»
15 years 1 months ago
Neural predictive control for a car-like mobile robot
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
Dongbing Gu, Huosheng Hu
SUTC
2010
IEEE
15 years 5 months ago
A Log-Ratio Information Measure for Stochastic Sensor Management
—In distributed sensor networks, computational and energy resources are in general limited. Therefore, an intelligent selection of sensors for measurements is of great importance...
Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck
ICMCS
2005
IEEE
92views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Personalized Prefetching for Manets
Mobile ad hoc networks (MANETs) are a very promising next generation networks. Prediction is an essential aspect in the deployment of MANETs. Current work mainly focuses on mobili...
S. H. Srinivasan
SGAI
2007
Springer
15 years 7 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...