29 search results - page 6 / 6 » Efficient Bayesian Parameter Estimation in Large Discrete Do... |
TSP
2010
12 years 12 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
COLING
1996
13 years 6 months ago
1996
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
TMI
2010
12 years 12 months ago
2010
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
SODA
2010
ACM
14 years 2 months ago
2010
ACM
Detecting and counting the number of copies of certain subgraphs (also known as network motifs or graphlets), is motivated by applications in a variety of areas ranging from Biolo...