This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc.
The book covers the following topics: Boolean Functio...
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks
Methods ...
Energy efficient networks are becoming a hot research topic, and the networking community is increasingly devoting its attention to the identification of approaches to save energy...
Marco Ajmone Marsan, Luca Chiaraviglio, Delia Ciul...
—With the deployment of IPTV reliability for multicast is becoming an important research topic again. Even though it has been intensively investigated before, there is now an und...
M. J. Prins, Marcus Brunner, G. Karagiannis, Henri...
—A new interactive visualization tool is proposed for textual data mining based on bipartite graph visualization. Applications to three text datasets are presented to show the ca...
Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Ta...