Hybrid Genetic and Dempster Shafer Theory based Classifiers for Multi-Class Classification Tasks
نویسندگان
چکیده
منابع مشابه
Hybrid Genetic and Dempster Shafer Theory based Classifiers for Multi-Class Classification Tasks
Classification is a data exploration and learning mechanism, which has been widely studied and a wide range of applications subject. Supervised Classification is based on association rules and if we increase number of association rule degree of accuracy of classification is also being increase but larger number of rule take longer time to classify. Recently researcher is focus to develop an mod...
متن کاملClass-wise multi-classifier combination based on Dempster-Shafer theory
Multi-classifier combination based on Dempster-Shafer theory of evidence has demonstrated it’s superior performance. In the approach based on Dempster-Shafer theory, the basic probability assignments for evidence are usually derived from classifiers’ global performance. However, our study discovered that while using classifiers’ global performance as basic probability assignments doesn’t necess...
متن کاملPrediction with Multiple, Multi-class Models and Dempster-Shafer Theory
Mathematical models are frequently developed to try to predict whether an individual has one of several conditions given a number of measured factors. Frequently, multiple models are developed for the same sets of data and, in general, some work better than others and usually one is selected as the primary model. But is there some way to use multiple models to aid prediction? In earlier work, w...
متن کاملDempster-shafer Theory Based Multi-class Support Vector Machines and Their Applications
How to extend standard support vector machines to solve multi-class classification problem and yield the outputs in the frame of Dempster-Shafer theory is useful. The multi-class probability support vector machine is proposed, firstly. The Dempster-Shafer theory based multi-class support vector machine is designed by constructing probability support vector machines for binary classification usi...
متن کاملCombining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators
In this paper, we discuss a framework for weighted combination of classifiers for word sense disambiguation (WSD). This framework is essentially based on DempsterShafer theory of evidence (Dempster, 1967; Shafer, 1976) and ordered weighted averaging (OWA) operators (Yager, 1988). We first determine various kinds of features which could provide complementarily linguistic information for the cont...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016908679