Contextual Classifier with the Context Probability as a Weighting Function

Context Probability를 Weighting Function으로 사용한 Contextual Classifier

The current methods of estimating contest distribution function in contextual clarifier are to "classify and count", GTGM (ground-truth-guided-method) and unbiased estimator. In this paper we propose a new contextual classifier echoes context distribution is replaced by context probability that is estimated from transition probability. The classification accuracy increases considerably compared with the classical one.