Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...
Christopher Sentelle, Georgios C. Anagnostopoulos,...
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
– Allowing a user to remain connected to the network whilst on the move is becoming a common requirement for any new communication system. The EU project Ambient Networks, theref...
Ramon Aguero Calvo, Abigail Surtees, Jochen Eisl, ...
Promise theory defines a method by which static service bindings are made in a network, but little work has been done on handling the dynamic case in which bindings must change ov...