Effective use of CPU data caches is critical to good performance, but poor cache use patterns are often hard to spot using existing execution profiling tools. Typical profilers at...
Aleksey Pesterev, Nickolai Zeldovich, Robert T. Mo...
The balanced graph partitioning consists in dividing the vertices of an undirected graph into a given number of subsets of approximately equal size, such that the number of edges c...
Sensor networks deployed in hostile areas are subject to node replication attacks, in which an adversary compromises a few sensors, extracts the security keys, and clones them in a...
Ming Zhang, Vishal Khanapure, Shigang Chen, Xuelia...
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...