We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
Abstract. In the framework of possibility theory, a tool named `fuzzy pattern matching' (FPM) has been proposed in the eighties and since successfully used in flexible queryin...
—“Network Storage and System Virtualization Technologies” is an up-to-date course opened by the school of electronics engineering and computer science of Peking University. T...