115 search results - page 10 / 23 » Predicting graph reading performance: a cognitive approach |
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
ICPP
1999
IEEE
13 years 11 months ago
1999
IEEE
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
FLAIRS
2010
13 years 9 months ago
2010
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...
CCGRID
2009
IEEE
14 years 2 months ago
2009
IEEE
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...