Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Motivated by service levels in terms of the waiting-time distribution seen in e.g. call centers, we consider two models for systems with a service discipline that depends on the w...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Driven by continuing scaling of Moore's law, chip multiprocessors and systems-on-a-chip are expected to grow the core count from dozens today to hundreds in the near future. ...
Boris Grot, Joel Hestness, Stephen W. Keckler, Onu...
A group of identical mobile agents moving asynchronously among the nodes of an anonymous network have to gather together in a single node of the graph. This problem known as the (a...