Exploring Active Learning for Student Behavior Classification

• Main Authors: Dumdumaya, Cristina E, Paredes, Yance Vance M, Rodrigo, Ma. Mercedes T
• Format: text
• Published: Archīum Ateneo 2019
• Subjects: Computing methodologies; Machine learning; Learning settings; Active learning settings; Computer Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/164; https://dl.acm.org/doi/abs/10.1145/3323771.3323807
• Institution: Ateneo De Manila University

Selection of high-quality ground truth data is a critical step for machine learning. Conventionally, a human-centered strategy is utilized to label the data. While this technique provides accurate annotations of task-specific behaviors, it is difficult, costly and error-prone. One method explored to...