On the relationship between dependence tree classification error and Bayes error rate.
Where this comes from
- Record sourced from PubMed, PMID 17699930.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Wong and Poon [1] showed that Chow and Liu's tree dependence approximation can be derived by minimizing an upper bound of the Bayes error rate. Wong and Poon's result was obtained by expanding the conditional entropy H(w|X). We derive the correct expansion of H(w|X) and present its implication.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Computer Simulation
- Data Interpretation, Statistical
- Pattern Recognition, Automated