This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
The proposed themes and the sections of the book address original issues... Læs mere
This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences.
It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the... Læs mere
The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues,... Læs mere
The second part of the work presents the search of the tH and ttH processes with the subsequent decays of the Higgs boson to pairs of t lepton, W bosons or Z bosons, making use of the data recorded during Run 2.
This book presents the tools used in machine learning (ML) and the benefits of using such tools in... Læs mere
This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life.