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Detection and Identification of Rare Audio-visual Cues: 384 (Studies in Computational Intelligence) - Tapa blanda
Sinopsis
Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses.
The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts.
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Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses.
The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts.
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Detection and Identification of Rare Audio-visual Cues
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Springer Berlin Heidelberg, 2013
ISBN 10: 3642269729
ISBN 13: 9783642269721
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in Detection and Identification of Rare Audiovisual Cues Scientific outcome of the European project DIRAC (Detection and Identification of Rare Audio-visual Cues) Written by leading experts in the fieldMachine . Nº de ref. del artículo: 5055012
Cantidad disponible: Más de 20 disponibles
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Detection and Identification of Rare Audio-visual Cues (Studies in Computational Intelligence, 384)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783642269721_new
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Detection and Identification of Rare Audio-visual Cues
Publicado por
Springer Berlin Heidelberg Nov 2013, 2013
ISBN 10: 3642269729
ISBN 13: 9783642269721
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts. 200 pp. Englisch. Nº de ref. del artículo: 9783642269721
Cantidad disponible: 2 disponibles
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Detection and Identification of Rare Audio-visual Cues
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 20899561-n
Cantidad disponible: 15 disponibles
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Detection and Identification of Rare Audio-visual Cues
Publicado por
Springer Berlin Heidelberg, 2013
ISBN 10: 3642269729
ISBN 13: 9783642269721
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts. Nº de ref. del artículo: 9783642269721
Cantidad disponible: 1 disponibles
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Detection and Identification of Rare Audio-visual Cues (Studies in Computational Intelligence, 384)
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9783642269721
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Detection and Identification of Rare Audio-visual Cues
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013
ISBN 10: 3642269729
ISBN 13: 9783642269721
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Calificación del vendedor: 5 de 5 estrellas
Condición: New. This volume brings together researchers from different disciplines to discuss new approaches for identifying, and reacting to, unexpected events in information-rich environments. Editor(s): Weinshall, Daphna; Anemuller, Jorn; Gool, Luc van. Series: Studies in Computational Intelligence. Num Pages: 192 pages, biography. BIC Classification: UG; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 314. . 2013. Paperback. . . . . Nº de ref. del artículo: V9783642269721
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Detection and Identification of Rare Audio-visual Cues
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 20899561
Cantidad disponible: 15 disponibles
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Detection and Identification of Rare Audio-visual Cues
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2013, 2013
ISBN 10: 3642269729
ISBN 13: 9783642269721
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch. Nº de ref. del artículo: 9783642269721
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Detection and Identification of Rare Audio-Visual Cues
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. pp. 200. Nº de ref. del artículo: 2697863279
Cantidad disponible: 4 disponibles