We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
Increasing power density in computing systems from laptops to servers has spurred interest in dynamic thermal management. Based on the success of dynamic voltage and frequency sca...
Heather Hanson, Stephen W. Keckler, Soraya Ghiasi,...
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
The relationship between social sharing of emotions, social networks and social ties is an ongoing topic of research. Such sharing of emotions occurs frequently in “social aware...
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...