mining frameworks, including metamodeling and active learning, have been proposed in recent years. Active learning, a …. Successful application of active learning requires an effective metric in order to gauge the informativeness of data. Current … portfolio valuation and investigate the impact of prediction bias in both the modeling and sampling stages of active learning …

Learning -- Modeling and Algorithms -- Supervised Learning Models -- Supervised Learning Algorithms -- Support Vector Machine … -- Decision Tree Learning -- Part IV Understanding Scaling-Up Machine Learning -- Random Forest Learning -- Deep Learning Models …This book presents machine learning models and algorithms to address big data classification problems. Existing machine …