Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
Aspect-oriented programming (AOP) eases the development of profilers, debuggers, and reverse engineering tools. Such tools frequently rely on calling context information. However,...
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...