Machine Learning and Data Mining in Pattern Recognition [electronic resource] :7th International Conference, MLDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings / edited by Petra Perner.
by Perner, Petra [editor.]; SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6871Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.Description: XII, 614 p. online resource.ISBN: 9783642231995.Subject(s): Computer science | Database management | Data mining | Artificial intelligence | Computer vision | Optical pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Mathematical Logic and Formal Languages | Database Management | Data Mining and Knowledge Discovery | Pattern Recognition | Image Processing and Computer VisionDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, appilication in medicine, Webmining and information mining; and machine learning and image mining.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TJ210.2-211.495 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | Q334-342 (Browse shelf) | Available |
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This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, appilication in medicine, Webmining and information mining; and machine learning and image mining.
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