In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed ...
Adrien Friggeri, Guillaume Chelius, Eric Fleury, A...
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
The quality control and update of geo-data, in this case especially of road-data, is the primary aim of the system, which is presented in the paper. One important task of the syste...