Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
Power and energy are first-order design constraints in high performance computing. Current research using dynamic voltage scaling (DVS) relies on trading increased execution time...
Barry Rountree, David K. Lowenthal, Bronis R. de S...
This paper introduces pass-transistor logic design with dualthreshold voltages. A set of single-rail, fully restored, passtransistor gates are presented. Logic transistors are imp...
Lara D. Oliver, Krishnendu Chakrabarty, Hisham Z. ...
We develop, analyze and experiment with a new tool, called madmx, which extracts frequent motifs, possibly including don’t care characters, from biological sequences. We introduc...
Roberto Grossi, Andrea Pietracaprina, Nadia Pisant...