1077 search results - page 15 / 216 » Learning network structure from passive measurements |
JMLR
2008
13 years 7 months ago
2008
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
IDA
2003
Springer
14 years 26 days ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
UAI
1993
13 years 9 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
INFOCOM
2010
IEEE
13 years 6 months ago
2010
IEEE
—Network Tomography (or network monitoring) uses end-to-end path-level measurements to characterize the network, such as topology estimation and failure detection. This work prov...
UAI
1998
13 years 9 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...