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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 331 | Sprache: Englisch | Produktart: Bücher | This volume is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. The first part of the book describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications, such as computer-aided medical diagnosis, that effectively trade off different types of costs.
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In den WarenkorbZustand: New. 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.
Sprache: Englisch
Verlag: Taylor & Francis Inc Dez 2011, 2011
ISBN 10: 1439839255 ISBN 13: 9781439839256
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - The first comprehensive source on cost-sensitive learning, this reference focuses on various research domains in machine learning that attempt to solve cost-sensitive learning with simplifying assumptions. The book explicitly deals with tradeoffs between the various costs and benefits inherent in many domains of machine learning research, including semisupervised learning, active learning, active feature acquisition, and inductive transfer learning. It covers recently developed methods, along with several applications of cost-sensitive learning, including natural language processing, computer vision, medical applications, web ads, and marketing. Real-world applications aid with reader understanding.