Machine Learning and Data Mining in Pattern Recognition [recurso electrónico] : 7th International Conference, MLDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings / edited by Petra Perner.
Tipo de material:
TextoSeries Lecture Notes in Computer Science ; 6871Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XII, 614 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642231995Tema(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 VisionFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: Libro electrónico
En: Springer eBooksResumen: 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.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | Q334 -342 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 376617-2001 |
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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