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ITRE
2005
IEEE
14 years 1 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
TVCG
2010
166views more  TVCG 2010»
13 years 6 months ago
An Extension of Wilkinson's Algorithm for Positioning Tick Labels on Axes
—The non-data components of a visualization, such as axes and legends, can often be just as important as the data itself. They provide contextual information essential to interpr...
Justin Talbot, Sharon Lin, Pat Hanrahan
TVCG
2011
171views more  TVCG 2011»
13 years 2 months ago
Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
—In this paper, we present the results of a human computer interaction experiment that compared the performance of the animation of dynamic graphs to the presentation of small mu...
Daniel Archambault, Helen C. Purchase, Bruno Pinau...
TVCG
2011
198views more  TVCG 2011»
13 years 2 months ago
Forecasting Hotspots - A Predictive Analytics Approach
—Current visual analytics systems provide users with the means to explore trends in their data. Linked views and interactive displays provide insight into correlations among peop...
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Ste...
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...