We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
: To understand overall vulnerability to network attack, one must consider attacker exploits not just in isolation, but also in combination. That is, one must analyze how low-level...
Recent work has shown that multithreaded workloads running in execution-driven, full-system simulation environments cannot use instructions per cycle (IPC) as a valid performance ...
We consider the problem of model checking modular Petri nets for the linear time logic LTL-X. An algorithm is presented which can use the synchronisation graph from modular analysi...
We present two complementary methods for automatically improving mesh parameterizations and demonstrate that they provide a very desirable combination of efficiency and quality. ...