Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Abstract In this paper we investigate the composition of cheap network storage resources to meet specific availability and capacity requirements. We show that the problem of find...
The ability to improve the yield of integrated circuits through layout modification has been recognized and several techniques for yield enhanced routing and compaction have been ...
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
We empirically study phase transitions of the asymmetric Traveling Salesman. Using random instances of up to 1,500 cities, we show that many properties of the problem, including t...