285 search results - page 1 / 57 » Non-stationary dynamic Bayesian networks |
JMLR
2010
12 years 11 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
LWA
2008
13 years 5 months ago
2008
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
AINA
2009
IEEE
13 years 11 months ago
2009
IEEE
—Opportunistic networks represent one of the most interesting evolution of MANET paradigm. Generally speaking, opportunistic networks enable user communication in environments wh...
JMLR
2012
11 years 7 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...
UAI
2000
13 years 5 months ago
2000
In this work, dynamic Bayesian multinets are introduced where a Markov chain state at time