419 search results - page 9 / 84 » Using Bayesian Networks for Cleansing Trauma Data |
101
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AI
2006
Springer
14 years 9 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
CAISE
2003
Springer
15 years 2 months ago
2003
Springer
This paper describes a validation approach of a socio-technical design support system using data mining techniques. Bayesian Belief Networks (BBN) are used to assess human error an...
115
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KDD
2012
ACM
13 years 1 days ago
2012
ACM
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
DSS
2007
14 years 9 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...