Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
Software inspections have proved to be an effective means to find faults in different software artifacts, and the application of software inspections on requirements specification...
This paper introduces a technique for the numerical generation of basis functions that are capable of parameterizing the frequency-variant nature of cross-sectional conductor curre...
Xin Hu, Tarek Moselhy, Jacob K. White, Luca Daniel
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
A complex, stochastic simulation model of Colorectal Cancer (CRC) is examined through factor screening to determine which factors in the model are important. The factor screening ...