Batch Mode Active Learning and its Applications to Medical Image Classification

• Main Authors: HOI, Steven C. H., JIN, Rong, ZHU, Jianke, LYU, Michael R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Batch mode active learning; Greedy algorithm; Manual labeling; Iterative methods; Medical imaging; Computer Sciences; Databases and Information Systems; Medicine and Health Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/2389; https://ink.library.smu.edu.sg/context/sis_research/article/3389/viewcontent/ICML06_BMAL_CR.pdf
• Institution: Singapore Management University

The goal of active learning is to select the most informative examples for manual labeling. Most of the previous studies in active learning have focused on selecting a single unlabeled example in each iteration. This could be inefficient since the classification model has to be retrained for every l...