We formulate and study a new computational model for dynamic data. In this model, the data changes gradually and the goal of an algorithm is to compute the solution to some proble...
Aris Anagnostopoulos, Ravi Kumar, Mohammad Mahdian...
Empirical studies on link blacklisting show that the delivery rate is very sensitive to the calibration of the blacklisting threshold. If the calibration is too restrictive (the th...
Flavio Fabbri, Marco Zuniga, Daniele Puccinelli, P...
This article presents the ways of identification, selection and transformation of the data into other structures. Relation selection and transformation may change data quantity and...
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Abstract. Service-based systems should be able to dynamically seek replacements for faulty or underperforming services, thus performing self-healing. It may however be the case tha...
Mohamed Anis Zemni, Salima Benbernou, Manuel Carro