Chapman & Hall/CRC machine learning & pattern recognition series
Includes bibliographical references and index
Includes bibliographical references and index
I. Theoretical underpinnings of cost-sensitive machine learning -- Algorithms for active learning -- Semi-supervised learning: some recent advances -- Transfer learning, multi-task learning, and cost-sensitive learning -- Cost-sensitive cascades -- Selective data acquisition for machine learning -- II. Cost-sensitive machine learning applications -- minimizing annotation costs in visual category learning -- Reliability and redundancy: reducing error cost in medical imaging -- Cost-sensitive learning in computational advertising -- Cost-sensitive machine learning for information retrieval