Widespread application of uninterpretable machine learning systems for sensitive purposes has spurred research into elucidating the decision making process these systems. These efforts have their background in many different disciplines, one which is field AI & law. In particular, recent works observed that training data can be interpreted as legal cases. Under this interpretation formalism...

the auther first defines that a theory is an interrrelated set of definitions and propositions, put forth to anticipate and explain the phenomena by dint of recognizing the relation between factors.the developmental theory, ascientific theory based on genetic methods aims to render a new organizattioin of the data and the relevant knowledge.upon this, piaget proviedes a co-variational relation ...

fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...

objective: to classify different types of acute leukemia based on cooperative game theory and shapley value. materials and methods: in this study, patients data were collected from flow cytometry tests of the iran blood transfusion organization (ibto) have been used. 304 different diagnosed samples in 8 classes of acute leukemia were investigated. samples were initially in numerical format. i...

the present study has dealt with studying the coaching model in training of human resource based on grounded theory. this study has done on qualitative bases and has utilized grounded theory approach besides semi-structured interviews for data collecting. in this study, interview was conducted, by using purposive and chain sampling, 7 training experts who were familiar with coaching. this quali...