To analyze the complexity of object-oriented software, several metrics have been proposed. Among them, Chidamber and Kemerer's metrics are well-known ones as object-oriented ...
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
Complex network analysis involves the study of the properties of various real world networks. In this broad field, research on community structures forms an important sub area. Th...