Error-dependency relationships for the naïve Bayes classifier with binary features.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 18276977.
- Also identified by DOI 10.1109/TPAMI.2007.70845.
- No licence information is recorded for this record.
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Abstract
We derive a tight dependency-related bound on the difference between the Naïve Bayes (NB) error and Bayes error for two binary features and two equiprobable classes. A measure of discrepancy of feature dependencies is proposed for multiple features. Its correlation with NB is shown using 23 real data sets.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Bayes Theorem
- Data Interpretation, Statistical
- Pattern Recognition, Automated
- Signal Processing, Computer-Assisted