201 search results - page 18 / 41 » Rough Set Approximation Based on Dynamic Granulation |
APPROX
2008
Springer
13 years 10 months ago
2008
Springer
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
CSMR
2007
IEEE
14 years 3 months ago
2007
IEEE
Many of the existing techniques for impact set computation in change propagation and regression testing are approximate for the sake of efficiency. A way to improve precision is ...
ICML
2009
IEEE
14 years 3 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
PE
2010
Springer
13 years 7 months ago
2010
Springer
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
UAI
2004
13 years 10 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...