1423 search results - page 20 / 285 » Object-Oriented Bayesian Networks |
130
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UAI
1998
15 years 1 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
118
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ECAI
2004
Springer
15 years 5 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
116
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ASC
2008
15 years 18 days ago
2008
Abstract. Objective: Age classification of patients based on information extracted from electrocardiograms (ECG's). The scope of this work is to develop and compare the perfor...
82
Voted
AI
2007
Springer
15 years 6 months ago
2007
Springer
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘or...
167
Voted
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....