Cost-Sensitive Machine Learning
Author:   Balaji Krishnapuram ,  Shipeng Yu ,  R. Bharat Rao
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367381912


Pages:   331
Publication Date:   19 September 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Cost-Sensitive Machine Learning


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Full Product Details

Author:   Balaji Krishnapuram ,  Shipeng Yu ,  R. Bharat Rao
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367381912


ISBN 10:   0367381915
Pages:   331
Publication Date:   19 September 2019
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

THEORECTICAL UNDERPINNINGS OF COST-SENSTIVE 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. 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. Index.

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Author Information

Balaji Krishnapuram is a senior R&D manager at Siemens Medical Solutions. He earned a Ph.D. in electrical and computer engineering from Duke University. His research interests include statistical data mining and information retrieval. Shipeng Yu is a senior staff scientist at Siemens Medical Solutions. He earned a Ph.D. in computer science from the University of Munich. His research interests include statistical machine learning, data mining, Bayesian analysis, information retrieval and extraction, healthcare analytics, and personalized medicine. R. Bharat Rao is senior director and head of Knowledge Solutions at Siemens Medical Solutions, where was recognized as one of its Inventors of the Year in 2005. He also received the 2011 ACM SIGKDD Lifetime Service Award for pioneering applications of data mining for healthcare. He earned a Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign. His research interests include machine learning, healthcare analytics, mining large data, and personalized medicine.

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