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Data complexity in pattern recognition
Machines capable of automatic pattern recognition have many fascinating uses. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability. This book looks at data complexity and its role in shaping the theories an...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2006
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| Acceso en línea: | http://cds.cern.ch/record/952150 |
| Sumario: | Machines capable of automatic pattern recognition have many fascinating uses. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability. This book looks at data complexity and its role in shaping the theories and techniques in different disciplines |
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