The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
Escape analysis can improve the speed and memory efficiency of garbage collected languages by allocating objects to the call stack, but an offline analysis will potentially interf...
Kevin Cleereman, Michelle Cheatham, Krishnaprasad ...
rogram. Our abstract interpretation algorithm may then be used to perform static type analysis. The analysis has applications in detecting probable errors in the PostScript code or...
This paper presents a user-centered design methodology for Decision Support Systems (DSSs), which is specifically built to face the socio-technical gap that often impedes DSS accep...
Pietro Baroni, Daniela Fogli, Massimiliano Giacomi...