CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2007 vol.29 Issue No.10 - October
Issue No.10 - October (2007 vol.29)
Wong and Poon  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.
bayes error rate, entropy, mutual information, classification, dependence tree approximation
Kiran S. Balagani, "On the Relationship Between Dependence Tree Classification Error and Bayes Error Rate", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.29, no. 10, pp. 1866-1868, October 2007, doi:10.1109/TPAMI.2007.1184