heretofore, a vast spectrum of pattern recognition methods has been considered by researchers to design credit scoring models. but what has not been considered enough in these studies is the lack of consideration of the needs of this subject which differentiate it from a simple classification. it is necessary to observe the costs of a wrong classification, because practically the cost of improp...

credit scoring is a classification problem leading to introducing numerous techniques to deal with it such as support vector machines, neural networks and rule-based classifiers. rule bases are the top priority in credit decision making because of their ability to explicitly distinguish between good and bad applicants.in a credit- scoring context, imbalanced data sets frequently occur as the nu...

background: the present study was performed to develop a scoring system for predicting cure status in patients with cutaneous leishmaniasis (cl). materials and methods: this study included 199 patients with cl from skin diseases and leishmaniasis research center (isfahan, iran). data were collected as longitudinal in each visit of patients. we applied ordinal logistic generalized estimating equ...

This book discusses the state of art automated essay scoring, its challenges and potential. One earliest applications artificial intelligence to language data (along with machine translation speech recognition), scoring has evolved become both a revenue-generating industry vast field research, many subfields connections other NLP tasks. In this book, we review developments in against backdrop E...

Background. Judo coaches and athletes must understand the relevant technical content of the competition to improve their judo skills in Taiwan. Therefore, this study intends to explore the current situation and differences in scoring techniques of outstanding judo players and the impact on the victories or defeats of scoring techniques. Objectives. The purpose of this study is to explore the d...