Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Abstract. This paper addresses the issue of measuring similarity between pieces of uncertain information in the framework of possibility theory. In a first part, natural properties...
Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi, Salem...
Consistent and flawless communication between humans and machines is the precondition for a computer to process instructions correctly. While machines use well-defined languages an...
Scientific literature recommender systems (SLRSs) provide papers to researchers according to their scientific interests. Systems rely on inter-researcher similarity measures that...
With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effe...
Bingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wa...