A gradient approach for value weighted classification learning in naive Bayes
Propose a new weighting method in the context of naive Bayes classification learning. Assign different weights for each feature value. A gradient approach for automatically calculating the weights of each feature value. Its performance is compared with that of other state-of-the-art methods. Experiments show the method could improve the performance of naive Bayes.
classification bayesian learning feature weighting gradient descent