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GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 9 months ago
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Allan Tucker, Xiaohui Liu, David Garway-Heath
147
Voted
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 11 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
134
Voted
ICAI
2007
15 years 6 months ago
Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks
Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As biomolecular...
Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A...
145
Voted
ICPR
2010
IEEE
15 years 4 months ago
Dynamic Hand Pose Recognition Using Depth Data
—Hand pose recognition has been a problem of great interest to the Computer Vision and Human Computer Interaction community for many years and the current solutions either requir...
Poonam Suryanarayan, Anbumani Subramanian, Dinesh ...
131
Voted
IPPS
2006
IEEE
15 years 10 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal