This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more...

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore...

"Neural Networks and Deep Learning: A Textbook" von Charu C. Aggarwal bietet eine umfassende Einführung in die Konzepte und Techniken des maschinellen Lernens mit einem speziellen Fokus auf neuronale Netzwerke und Deep Learning. Das Buch...