Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
In this paper, we develop a theory of modular design and refinement of hierarchical hybrid systems. In particular, we present compositional trace-based semantics for the language ...
: Multimedia service providers on the web need their services to be well protected and easily accessible worldwide. This has initiated several lines of research to provide semantic...
Nima Kaviani, Dragan Gasevic, Marek Hatala, David ...
The paper presents a method to compute performance metrics (response time, sojourn time, throughput) on Unified Modeling Language design. The method starts with UML design annota...
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...