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» Using Bayesian networks to analyze expression data
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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 8 months ago
Robust stability of multi-hop control networks
Abstract— We propose formal models for analyzing robustness of multi-hop control networks, where data from sensors to controllers and from controllers to actuators is sent throug...
Gera Weiss, Alessandro D'Innocenzo, Rajeev Alur, K...
151
Voted
JNW
2006
88views more  JNW 2006»
15 years 3 months ago
A Genetic Algorithms Based Approach for Group Multicast Routing
Whereas multicast transmission in one-to-many communications allows the operator to drastically save network resources, it also makes the routing of the traffic flows more complex ...
Luca Sanna Randaccio, Luigi Atzori
109
Voted
APIN
2010
107views more  APIN 2010»
15 years 3 months ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
145
Voted
BMCBI
2006
180views more  BMCBI 2006»
15 years 3 months ago
The Gaggle: An open-source software system for integrating bioinformatics software and data sources
Background: Systems biologists work with many kinds of data, from many different sources, using a variety of software tools. Each of these tools typically excels at one type of an...
Paul T. Shannon, David J. Reiss, Richard Bonneau, ...
106
Voted
WMTE
2006
IEEE
15 years 9 months ago
JAMIOLAS: Supporting Japanese Mimicry and Onomatopoeia Learning with Sensors
  This  paper  proposes  a  computer  supported  ubiquitous  learning  environment  for  language  learning.  Especially,  this  paper  describes  context­  awar...
Hiroaki Ogata, Chengjiu Yin, Yoneo Yano