Machine Learning and Data Mining in Pattern Recognition [electronic resource] : 7th International Conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011Proceedings / edited by Petra Perner.
Contributor(s): Perner, Petra [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 6871Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XII, 614 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642231995.Subject(s): Artificial intelligence | Machine theory | Database management | Data mining | Pattern recognition systems | Computer vision | Artificial Intelligence | Formal Languages and Automata Theory | Database Management | Data Mining and Knowledge Discovery | Automated Pattern Recognition | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online In: Springer Nature eBookSummary: 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.No physical items for this record
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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