20 search results - page 3 / 4 » Utilities as Random Variables: Density Estimation and Struct... |
CIVR
2006
Springer
13 years 9 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
TIT
2010
12 years 12 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
WSC
2004
13 years 6 months ago
2004
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
BMCBI
2010
13 years 5 months ago
2010
Background: Large datasets of protein interactions provide a rich resource for the discovery of Short Linear Motifs (SLiMs) that recur in unrelated proteins. However, existing met...
BMCBI
2008
13 years 5 months ago
2008
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...