We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Most shared memory systems maximize performance by unpredictably resolving memory races. Unpredictable memory races can lead to nondeterminism in parallel programs, which can suff...
Derek Hower, Polina Dudnik, Mark D. Hill, David A....
We develop a novel approach to the semantic analysis of short text segments and demonstrate its utility on a large corpus of Web search queries. Extracting meaning from short text...
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...
Software-based fault isolation (SFI), as used in Google’s Native Client (NaCl), relies upon a conceptually simple machine-code analysis to enforce a security policy. But for com...
Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-...