Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
The number of functional errors escaping design verification and being released into final silicon is growing, due to the increasing complexity and shrinking production schedules ...
3D integration technology greatly increases transistor density while providing faster on-chip communication. 3D implementations of processors can simultaneously provide both laten...
Concurrent ML (CML) is a statically-typed higher-order concurrent language that is embedded in Standard ML. Its most notable feature is its support for first-class synchronous ope...