Publicly-available data sets provide detailed and large-scale information on multiple types of molecular interaction networks in a number of model organisms. These multi-modal univ...
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
—In this paper, we have developed a novel framework called JustClick to enable personalized image recommendation via exploratory search from large-scale collections of manuallyan...
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Since the early days of networks, a basic principle has been that endpoints treat the network as a black box. An endpoint injects a packet with a destination address and the netwo...
Paolo Costa, Thomas Zahn, Antony I. T. Rowstron, G...