166 search results - page 29 / 34 » Full Bayesian network classifiers |
ACSAC
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper presents techniques to integrate and reason about complementary intrusion evidence such as alerts generated by intrusion detection systems (IDSs) and reports by system ...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
IDEAL
2000
Springer
15 years 1 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
67
Voted
ICONIP
2008
14 years 11 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
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...