241 search results - page 13 / 49 » Parameter learning for relational Bayesian networks |
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
UAI
1996
14 years 11 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
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UIC
2007
Springer
15 years 3 months ago
2007
Springer
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s phy...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...