The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Modern multi-core architectures have become popular because of the limitations of deep pipelines and heating and power concerns. Some of these multi-core architectures such as the...
Recent studies on value locality reveal that many instructions are frequently executed with a small variety of inputs. This paper proposes an approach that integrates architecture...
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
While test collection construction is a time-consuming and expensive process, the true cost is amortized by reusing the collection over hundreds or thousands of experiments. Some ...
Ben Carterette, Evgeniy Gabrilovich, Vanja Josifov...