Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
Trees are fundamental structures for data dissemination in large-scale network scenarios. However, their inherent fragility has led researchers to rely on more redundant mesh topo...
Abstract. As the use of computers and data communication technologies spreads, network security systems are becoming increasingly complex, due to the incorporation of a variety of ...
Wireless sensor networks with multiple users collecting data directly from the sensors have many potential applications. An important problem is to allocate for each user a query r...
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...