419 search results - page 78 / 84 » Using Bayesian Networks for Cleansing Trauma Data |
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
107
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KES
2005
Springer
15 years 3 months ago
2005
Springer
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...
WSC
2007
14 years 12 months ago
2007
One of the most important gaps in road safety management practises is the lack of mature methods for estimating reliability. Road safety performance assessment systems have been d...
ICSE
2004
IEEE-ACM
15 years 9 months ago
2004
IEEE-ACM
Software metrics should support managerial decision making in software projects. We explain how traditional metrics approaches, such as regression-based models for cost estimation...
112
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CORR
2011
Springer
14 years 1 months ago
2011
Springer
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...