55 search results - page 2 / 11 » Network structure preserving model reduction with weak a pri... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We define a new reduced model to represent coloured images. We propose to use two components for a full definition of a colour instead of three. To that end we take advantage of...
JMLR
2012
11 years 8 months ago
2012
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
PVLDB
2008
13 years 5 months ago
2008
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
BMCBI
2010
13 years 6 months ago
2010
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
NIPS
2007
13 years 7 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...