Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be... Læs mere
This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support.
This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical... Læs mere
Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage.
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty.
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems.
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment.... Læs mere
SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and... Læs mere