We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
Margarita Kuzmina, Eduard A. Manykin, Irina Surina
-- Networks composed of large number of nodes interacting in structured ways such as power grids, communication networks, social networks or market networks are critical port of th...
Due to the technical developments in electronics the amount of digital content is continuously increasing. In order to make digital content respectively multimedia content availab...
Thomas Plagemann, Vera Goebel, Andreas Mauthe, Lau...