The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
Time dependant models have been intensively studied for many reasons, among others because of their applications in software verification and due to the development of embedded pla...
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
This study investigates how customers perceive and adopt Internet Banking (IB) in Hong Kong. We developed a theoretical model based on the Technology Acceptance Model (TAM) with a...
T. C. Edwin Cheng, David Y. C. Lam, Andy C. L. Yeu...
In model-driven software development, while scenariobased models are closer to distributed system requirements, state-based models are suitable for code generation. Our tool ‘Fo...