675 search results - page 8 / 135 » Algorithms for estimating relative importance in networks |
SEMWEB
2005
Springer
14 years 14 days ago
2005
Springer
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
ICASSP
2011
IEEE
2011
IEEE
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments
12 years 10 months ago
Noise power spectral density estimation is an important component of speech enhancement systems due to its considerable effect on the quality and the intelligibility of the enhanc...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We consider a standard splitting algorithm for the rare-event simulation of overflow probabilities in any subset of stations in a Jackson network at level n, starting at a fixed i...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In wireless channels, the path loss exponent (PLE) has a strong impact on the quality of the links, and hence, it needs to be accurately estimated for the efficient design and oper...