Performance Improvement for Bayesian Classification on Spatial Data with P-Trees.
Amal Shehan Perera, Masum Serazi, William Perrizo · 2002
Accuracy is one of the major issues for a classifier. Currently there exist a range of classifiers with different degrees of accuracy directly related to computational complexity. In this paper we are presenting an approach to improve the classification accuracy of an existing PTree based Bayesian classification technique. The new approach has increased the granularity between two conditional probability calculations by using a bit-based approach rather than the existing band-based approach.