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Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November ... (Lecture Notes in Artificial Intelligence)
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Advances in Artificial Intelligence : 16th Conference of the Spanish Association for Arti?cial Intelligence, Caepia 2015 Albacete, Spain, November 9?12, 2015 Proceedings
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Advances in Artificial Intelligence : 16th Conference of the Spanish Association for Arti?cial Intelligence, Caepia 2015 Albacete, Spain, November 9?12, 2015 Proceedings
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Advances in Artificial Intelligence 2015: 16th Conference of the Spanish Assoiation for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, . (Lecture Notes in Computer Science)
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Fusion Methods for Unsupervised Learning Ensembles (Studies in Computational Intelligence)
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Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Arti?cial Intelligence, Caepia 2015 Albacete, Spain, November 912, 2015 Proceedings
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2015
ISBN 10: 331924597X ISBN 13: 9783319245973
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Fusion Methods for Unsupervised Learning Ensembles
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Fusion Methods for Unsupervised Learning Ensembles
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Advances in Artificial Intelligence | 16th Conference of the Spanish Association for Arti¿cial Intelligence, CAEPIA 2015 Albacete, Spain, November 9-12, 2015 Proceedings | José M. Puerta (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiv | Englisch | 2015 | Springer | EAN 9783319245973 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Advances in Artificial Intelligence : 16th Conference of the Spanish Association for Arti?cial Intelligence, Caepia 2015 Albacete, Spain, November 9?12, 2015 Proceedings
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Fusion Methods for Unsupervised Learning Ensembles (Studies in Computational Intelligence, 322)
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Fusion Methods for Unsupervised Learning Ensembles (Studies in Computational Intelligence, 322)
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Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings (Lecture Notes in Computer Science, 5572)
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Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Articial Intelligence, CAEPIA 2015 Albacete, Spain, November . (Lecture Notes in Computer Science, 9422)
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Advances in Artificial Intelligence : 16th Conference of the Spanish Association for Arti?cial Intelligence, Caepia 2015 Albacete, Spain, November 9?12, 2015 Proceedings
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Hybrid Artificial Intelligence Systems
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Fusion Methods for Unsupervised Learning Ensembles
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hybrid Artificial Intelligence Systems | 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings | Emilio Corchado (u. a.) | Taschenbuch | xxii | Englisch | 2009 | Springer | EAN 9783642023187 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2009
ISBN 10: 3642023185 ISBN 13: 9783642023187
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Fusion Methods for Unsupervised Learning Ensembles
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Aggiungi al carrelloHardcover. Condizione: Brand New. 141 pages. 9.00x6.25x0.75 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Fusion Methods for Unsupervised Learning Ensembles | Bruno Baruque | Taschenbuch | Studies in Computational Intelligence | xvii | Englisch | 2014 | Springer | EAN 9783642423284 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hybrid Artificial Intelligence Systems : 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings
Lingua: Inglese
Editore: Springer, Springer Spektrum, 2009
ISBN 10: 3642023185 ISBN 13: 9783642023187
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly po- lar given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, hi- dimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as raw data to come up with promising solutions in an effective manner. Being truly multidisciplinary, the series of HAIS conferences offers an interesting research forum to present and discuss the latest th- retical advances and real-world applications in this exciting research field. This volume of Lecture Notes in Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2009 held at the University of Salamanca, Salamanca, Spain, June 2009. Since its inception, the main aim of the HAIS conferences has been to establish a broad and interdisciplinary forum for hybrid artificial intelligence systems and asso- ated learning paradigms, which are playing increasingly important roles in a large number of application areas.
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International Joint Conference: CISIS'15 and ICEUTE'15 (Advances in Intelligent Systems and Computing, 369)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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10th International Conference on Soft Computing Models in Industrial and Environmental Applications (Advances in Intelligent Systems and Computing, 368)
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Fusion Methods for Unsupervised Learning Ensembles
Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2014
ISBN 10: 3642423280 ISBN 13: 9783642423284
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The application of a 'committee of experts' or ensemble learning to artificial neural networksthat apply unsupervised learning techniques is widely considered to enhance the effectivenessof such networks greatly.This book examines the potential of the ensemble meta-algorithm by describing and testing atechnique based on the combination of ensembles and statistical PCA that is able to determinethe presence of outliers in high-dimensional data sets and to minimize outlier effects in the final results.Its central contribution concerns an algorithm for the ensemble fusion of topology-preservingmaps, referred to as Weighted Voting Superposition (WeVoS), which has been devised to improve data exploration by 2-D visualization over multi-dimensional data sets. This generic algorithm is applied in combination with several other models taken from the family of topology preserving maps, such as the SOM, ViSOM, SIM and Max-SIM. A range of quality measures for topology preserving maps that are proposed in the literature are used to validate and compare WeVoS with other algorithms.The experimental results demonstrate that, in the majority of cases, the WeVoS algorithmoutperforms earlier map-fusion methods and the simpler versions of the algorithm with whichit is compared. All the algorithms are tested in different artificial data sets and in several of the most common machine-learning data sets in order to corroborate their theoretical properties. Moreover, a real-life case-study taken from the food industry demonstrates the practical benefits of their application to more complex problems.
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Fusion Methods for Unsupervised Learning Ensembles
Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2010
ISBN 10: 3642162045 ISBN 13: 9783642162046
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The application of a 'committee of experts' or ensemble learning to artificial neural networksthat apply unsupervised learning techniques is widely considered to enhance the effectivenessof such networks greatly.This book examines the potential of the ensemble meta-algorithm by describing and testing atechnique based on the combination of ensembles and statistical PCA that is able to determinethe presence of outliers in high-dimensional data sets and to minimize outlier effects in the final results.Its central contribution concerns an algorithm for the ensemble fusion of topology-preservingmaps, referred to as Weighted Voting Superposition (WeVoS), which has been devised to improve data exploration by 2-D visualization over multi-dimensional data sets. This generic algorithm is applied in combination with several other models taken from the family of topology preserving maps, such as the SOM, ViSOM, SIM and Max-SIM. A range of quality measures for topology preserving maps that are proposed in the literature are used to validate and compare WeVoS with other algorithms.The experimental results demonstrate that, in the majority of cases, the WeVoS algorithmoutperforms earlier map-fusion methods and the simpler versions of the algorithm with whichit is compared. All the algorithms are tested in different artificial data sets and in several of the most common machine-learning data sets in order to corroborate their theoretical properties. Moreover, a real-life case-study taken from the food industry demonstrates the practical benefits of their application to more complex problems.
-
10th International Conference on Soft Computing Models in Industrial and Environmental Applications
Lingua: Inglese
Editore: Springer International Publishing, 2015
ISBN 10: 3319197185 ISBN 13: 9783319197180
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The application of a ¿committee of experts¿ or ensemble learning to artificial neural networksthat apply unsupervised learning techniques is widely considered to enhance the effectivenessof such networks greatly.This book examines the potential of the ensemble meta-algorithm by describing and testing atechnique based on the combination of ensembles and statistical PCA that is able to determinethe presence of outliers in high-dimensional data sets and to minimize outlier effects in the final results.Its central contribution concerns an algorithm for the ensemble fusion of topology-preservingmaps, referred to as Weighted Voting Superposition (WeVoS), which has been devised to improve data exploration by 2-D visualization over multi-dimensional data sets. This generic algorithm is applied in combination with several other models taken from the family of topology preserving maps, such as the SOM, ViSOM, SIM and Max-SIM. A range of quality measures for topology preserving maps that are proposed in the literature are used to validate and compare WeVoS with other algorithms.The experimental results demonstrate that, in the majority of cases, the WeVoS algorithmoutperforms earlier map-fusion methods and the simpler versions of the algorithm with whichit is compared. All the algorithms are tested in different artificial data sets and in several of the most common machine-learning data sets in order to corroborate their theoretical properties. Moreover, a real-life case-study taken from the food industry demonstrates the practical benefits of their application to more complex problems.
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Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Seiten: 740 | Sprache: Englisch | Produktart: Bücher | The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly po- lar given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, hi- dimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as raw data to come up with promising solutions in an effective manner. Being truly multidisciplinary, the series of HAIS conferences offers an interesting research forum to present and discuss the latest th- retical advances and real-world applications in this exciting research field. This volume of Lecture Notes in Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2009 held at the University of Salamanca, Salamanca, Spain, June 2009. Since its inception, the main aim of the HAIS conferences has been to establish a broad and interdisciplinary forum for hybrid artificial intelligence systems and asso- ated learning paradigms, which are playing increasingly important roles in a large number of application areas.
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10th International Conference on Soft Computing Models in Industrial and Environmental Applications (Advances in Intelligent Systems and Computing)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 486.
