632 search results - page 12 / 127 » Updating with incomplete observations |
JUCS
2006
13 years 7 months ago
2006
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
CONCUR
2007
Springer
14 years 1 months ago
2007
Springer
It is well known that bisimulation on µ-expressions cannot be finitely axiomatised in equational logic. Complete axiomatisations such as those of Milner and Bloom/´Esik necessar...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...