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Condition: As New. Unread book in perfect condition.
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Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers (Lecture Notes in Artificial Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Towards Integrative Machine Learning and Knowledge Extraction : Birs Workshop
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Towards Integrative Machine Learning An
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Towards Integrative Machine Learning and Knowledge Extraction : Birs Workshop
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Towards Integrative Machine Learning and Knowledge Extraction: Birs Workshop
Language: English
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
Paperback. Condition: Brand New. 224 pages. 9.25x6.10x0.55 inches. In Stock.
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Condition: New.
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Towards Integrative Machine Learning and Knowledge Extraction
Language: English
Published by Springer International Publishing, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
Kartoniert / Broschiert. Condition: New.
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Towards Integrative Machine Learning and Knowledge Extraction : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers
Language: English
Published by Springer International Publishing, Springer International Publishing, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The BIRS Workshop 'Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets' (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of 'hot topics' toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.
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Taschenbuch. Condition: Neu. Towards Integrative Machine Learning and Knowledge Extraction | BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers | Andreas Holzinger (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvi | Englisch | 2017 | Springer | EAN 9783319697741 | 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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Condition: new. Questo è un articolo print on demand.
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Towards Integrative Machine Learning and Knowledge Extraction
Language: English
Published by Springer International Publishing Okt 2017, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The BIRS Workshop 'Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets' (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of 'hot topics' toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning. 224 pp. Englisch.
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Towards Integrative Machine Learning and Knowledge Extraction
Language: English
Published by Springer, Springer Okt 2017, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The BIRS Workshop ¿Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets¿ (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of ¿hot topics¿ toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain.The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
