Software prefetching, typically in the context of numericor loop-intensive benchmarks, has been proposed as one remedy for the performance bottleneck imposed on computer systems b...
Mikko H. Lipasti, William J. Schmidt, Steven R. Ku...
By providing credit risk information, credit rating systems benefit most participants in financial markets, including issuers, investors, market regulators and intermediaries. In ...
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
The demand for real-time database services has been increasing recently. Examples include sensor data fusion, decision support, web information services, and online trading. In th...
Kyoung-Don Kang, Sang Hyuk Son, John A. Stankovic,...
In many problems the raw data is already classified according to a variety of features using some linear classification algorithm but needs to be reclassified. We introduce a novel...