Abstract: We proposed an approach to decompose a univariate time series into a set of sine functions whose frequencies are not necessarily integers as the dis-crete Fourier transform, and designed an efficient algorithm of linear time com-plexity to
This case study outlines the importance of an accurate radio propagation planning for UMTS networks. Due to the specific UMTS technology 3G users may experience much lower service levels then expected or even failures if the network is planned inacc
Compute entropy to detect problematic predictors Improve numeric predictions using constrained and unconstrained combinations, variance-weighted interpolation, and kernel-regression smoothing Carry out classification decisions using Borda counts, Mi
The book addresses software quality prediction using machine learning technique such as case-based reasoning. In this research work I have addressed an important problem in the area of software fault prediction using a popular and relatively importa
Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explor
