Nearest-neighbor methods in learning and vision : theory and practice /

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Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Shakhnarovich, Gregory, Darrell, Trevor, Indyk, Piotr
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2005.
Colección:Neural information processing series.
Temas:
Nearest neighbor analysis (Statistics) > Congresses.
Machine learning > Congresses.
Algorithms > Congresses.
Geometry > Data processing > Congresses.
Artificial intelligence.
Algorithms
Artificial Intelligence
Analyse du plus proche voisin (Statistique) > Congrès.
Apprentissage automatique > Congrès.
Algorithmes > Congrès.
Géométrie > Informatique > Congrès.
Algorithmes.
Intelligence artificielle.
algorithms.
artificial intelligence.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Artificial intelligence
Geometry > Data processing
Machine learning
Nearest neighbor analysis (Statistics)
Anwendung
Maschinelles Lernen
Maschinelles Sehen
Nächste-Nachbarn-Problem
COMPUTER SCIENCE/Machine Learning & Neural Networks
Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Acceso en línea:Texto completo

Internet

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