. Successful application of active learning requires an effective metric in order to gauge the informativeness of data. Current …Given the computational challenges associated with valuing large variable annuity (VA) portfolios, a variety of data … mining frameworks, including metamodeling and active learning, have been proposed in recent years. Active learning, a …

This book presents machine learning models and algorithms to address big data classification problems. Existing machine … readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the … presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth …