52 search results - page 5 / 11 » Naive Bayes and Decision Trees for Function Tagging |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
ICDE
2002
IEEE
14 years 8 months ago
2002
IEEE
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
ICAPR
2009
Springer
14 years 1 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
AIME
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
FSKD
2007
Springer
14 years 1 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...