. 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 paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social … adage "once you understand OLS, you can work your way up to any other estimator," and apply it to Machine Learning. Focusing … and fire some trailblazers to the forefront of AI and causal machine learning. …

$250,000 or medium-high income level, and $250,000 or above, the high-income level. We considered several machine learning …

computerization of school data management, educational stakeholders, including the machine learning (ML) community, have taken an … various machine learning methods based on 84 selected publications. It shows how researchers have been able to pattern …