Introduction

Modern machine learning methods are utilized in a wide variety of applications and provide an unprecedented level of automation in all areas of life. They have also spurred an increased research interest in the statistical foundations of learning methods and discovering best possible algorithms to handle complex data collected by constantly improving and proliferating sensors. The research areas are becoming more specialized, and it might be difficult for researchers to get a full picture of the diversity of topics and problems investigated in this field.

This book attempts to capture the current progress in multiple research areas related to machine learning. It contains a collection of chapters written by different researchers in ...

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