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WSC
1998
13 years 10 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
CIDR
2009
105views Algorithms» more  CIDR 2009»
13 years 10 months ago
Teaching an Old Elephant New Tricks
In recent years, column stores (or C-stores for short) have emerged as a novel approach to deal with read-mostly data warehousing applications. Experimental evidence suggests that...
Nicolas Bruno
AUTOMATICA
2008
108views more  AUTOMATICA 2008»
13 years 9 months ago
Closed-loop identification of multivariable systems: With or without excitation of all references?
The accuracy of plant parameters estimated in closed-loop operation is investigated for a class of multivariable systems and for the situation where only some of the reference inp...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
DATAMINE
2006
139views more  DATAMINE 2006»
13 years 8 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
JBCB
2006
60views more  JBCB 2006»
13 years 8 months ago
Efficient Algorithms and Software for Detection of Full-length Ltr Retrotransposons
LTR retrotransposons constitute one of the most abundant classes of repetitive elements in eukaryotic genomes. In this paper, we present a new algorithm for detection of full-leng...
Anantharaman Kalyanaraman, Srinivas Aluru