In this paper, we review the examplar-based learining approach which in quite popular in machine learning reseach. And, the conventional and the category utility methods are compared. Conventional methods manifest accuracy problem and suffer from auto...
In this paper, we review the examplar-based learining approach which in quite popular in machine learning reseach. And, the conventional and the category utility methods are compared. Conventional methods manifest accuracy problem and suffer from automation.
Category Utility is proposed to cope with suchy problems. We have studide on representation of category to apply it for real problem. And, a method to automate the construction of category knowledge based is studied.
Many experiments are conducted to compare on methods with conventional approached with respect teo accuracy and automation.