Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However...
Feng Shi, Juanzi Li, Jie Tang, Guo Tong Xie, Hanyu...
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
Inspired by the way SAP R/3 and other transactional information systems log events, we focus on the problem to decide whether a process model and a frequency profile "fit"...
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...