Positive Unlabeled Learning

Discover the transformative insights in "Positive Unlabeled Learning" by Hamed Mirzaei, published by Springer International Publishing AG in 2022. This engaging paperback spans 134 pages and delves into the intricacies of Positive Unlabeled (PU) learning, a vital area in machine learning. The book not only explores PU learning but also offers high-level summaries of related concepts such as one-class classification, anomaly detection, and noisy learning. Each topic is expertly connected to PU learning, providing a comprehensive understanding for researchers and practitioners alike. Enhance your knowledge and stay ahead in the rapidly evolving field of machine learning with this essential read.