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Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, ... (Lecture Notes in Artificial Intelligence)
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Machine Learning and Interpretation in Neuroimaging : 4th International Workshop, Mlini 2014, Held at Nips 2014, Revised Selected Papers
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Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, ... (Lecture Notes in Artificial Intelligence)
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Machine Learning and Interpretation in Neuroimaging : International Workshop, Mlini 2011, Held at Nips 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Papers
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Machine Learning and Interpretation in Neuroimaging : 4th International Workshop, Mlini 2014, Held at Nips 2014, Revised Selected Papers
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Machine Learning and Interpretation in Neuroimaging : International Workshop, Mlini 2011, Held at Nips 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Papers
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Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, Mlini 2014, Held at Nips 2014, Revised Selected Papers
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319451731 ISBN 13: 9783319451732
Language: English
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Add to basketPaperback. Condition: Brand New. revised edition. 140 pages. 9.25x6.10x0.32 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. revised edition. 306 pages. 9.25x6.10x0.80 inches. In Stock.
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Machine Learning and Interpretation in Neuroimaging
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2012, 2012
ISBN 10: 3642347126 ISBN 13: 9783642347122
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.
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Machine Learning and Interpretation in Neuroimaging : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers
Published by Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319451731 ISBN 13: 9783319451732
Language: English
£ 43.89
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014. The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series.In addition, the book contains the 3 best papers presented at MLINI 2013.
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Machine Learning and Interpretation in Neuroimaging : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642347126 ISBN 13: 9783642347122
Language: English
£ 43.99
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.
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Machine Learning and Interpretation in Neuroimaging
Published by Berlin Springer International Publishing Springer Sep 2016, 2016
ISBN 10: 3319451731 ISBN 13: 9783319451732
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014. The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series.In addition, the book contains the 3 best papers presented at MLINI 2013. 129 pp. Englisch.
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Machine Learning and Interpretation in Neuroimaging
Published by Springer Berlin Heidelberg Nov 2012, 2012
ISBN 10: 3642347126 ISBN 13: 9783642347122
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 43.99
Convert currency£ 19.96 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning. 280 pp. Englisch.
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Add to basketCondition: New. Print on Demand pp. 282 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 282.
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Machine Learning and Interpretation in Neuroimaging
Published by Springer International Publishing, 2016
ISBN 10: 3319451731 ISBN 13: 9783319451732
Language: English
£ 37.24
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conferen.
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Machine Learning and Interpretation in Neuroimaging
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642347126 ISBN 13: 9783642347122
Language: English
£ 40.11
Convert currency£ 42.51 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State-of-the-art contributions Interdisciplinary research Unique visibilityBrain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statisti.
