K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
The paper discusses the innovative patterns such as subtraction, multiplication, division, task unification and attribute dependency change for evaluating the software architectur...
There is a critical need for approaches to support software testing. Our research exploits the information described at Architectural Patterns to drive the definition of tests. As...
We show how the formal description language LOTOS can be used to de ne software architectures and how patterns over LOTOS can serve to characterize architectural styles. We charact...