564 search results - page 40 / 113 » Approximation algorithms for restricted Bayesian network str... |
108
Voted
SODA
2008
ACM
15 years 2 months ago
2008
ACM
In this paper, we study the spread of influence through a social network, in a model initially studied by Kempe, Kleinberg and Tardos [14, 15]: We are given a graph modeling a soc...
94
Voted
IJAR
2008
15 years 17 days ago
2008
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
138
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
136
click to vote
ESOP
2011
Springer
14 years 4 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
110
Voted
UAI
2008
15 years 2 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...