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Kroiss Manuel (19 results)
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Condition: As New. Unread book in perfect condition.
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Predicting the Lineage Choice of Hematopoietic Stem Cells: A Novel Approach Using Deep Neural Networks (BestMasters)
Book 30 of 91: BestMastersSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 48.18
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Predicting the Lineage Choice of Hematopoietic Stem Cells : A Novel Approach Using Deep Neural Networks
Book 30 of 91: BestMastersLanguage: English
Published by Springer Spektrum 2016-05, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
PF. Condition: New.
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Predicting the Lineage Choice of Hematopoietic Stem Cells : A Novel Approach Using Deep Neural Networks
Book 30 of 91: BestMastersSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Predicting the Lineage Choice of Hematopoietic Stem Cells : A Novel Approach Using Deep Neural Networks
Book 30 of 91: BestMastersSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Predicting the Lineage Choice of Hematopoietic Stem Cells: A Novel Approach Using Deep Neural Networks
Book 30 of 91: BestMastersLanguage: English
Published by Spektrum Akademischer Verlag Gmbh, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
Paperback. Condition: Brand New. 84 pages. 9.25x6.10x0.19 inches. In Stock.
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Predicting the Lineage Choice of Hematopoietic Stem Cells
Book 30 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
Condition: New.
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Predicting the Lineage Choice of Hematopoietic Stem Cells : A Novel Approach Using Deep Neural Networks
Book 30 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Manuel Kroiss examines the differentiation of hematopoietic stem cells using machine learning methods. This work is based on experiments focusing on the lineage choice of CMPs, the progenitors of HSCs, which either become MEP or GMP cells. The author presents a novel approach to distinguish MEP from GMP cells using machine learning on morphology features extracted from bright field images. He tests the performance of different models and focuses on Recurrent Neural Networks with the latest advances from the field of deep learning. Two different improvements to recurrent networks were tested: Long Short Term Memory (LSTM) cells that are able to remember information over long periods of time, and dropout regularization to prevent overfitting. With his method, Manuel Kroiss considerably outperforms standard machine learning methods without time information like Random Forests and Support Vector Machines.
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Erbprozess mit Erbscheinverfahren und Teilungsversteigerung. 2. Auflage.
Language: German
Published by Baden-Baden, Nomos (Lizenzausgabe Zerb Verlag), 2005
ISBN 10: 3832912444 ISBN 13: 9783832912444
Seller: Antiquariat Dennis R. Plummer, Bingen am Rhein, Germany
Seller rating 5 out of 5 stars
Gr.-8°, Original-Pappband. Condition: Gut. LXVIII, 996 SS. NomosProzessHandbuch. - Sauber und gut erhalten. Sprache: Deutsch Gewicht in Gramm: 1700.
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Predicting the Lineage Choice of Hematopoietic Stem Cells | A Novel Approach Using Deep Neural Networks
Book 30 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
Taschenbuch. Condition: Neu. Predicting the Lineage Choice of Hematopoietic Stem Cells | A Novel Approach Using Deep Neural Networks | Manuel Kroiss | Taschenbuch | xv | Englisch | 2016 | Springer Fachmedien Wiesbaden | EAN 9783658128784 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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2., Auflage. 1064 Seiten Ehemaliges Bibliotheksexemplar mit Stempel und Signatur in gutem Zustand. 9783832912444 Sprache: Deutsch Gewicht in Gramm: 1860.
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Erbprozess
Published by Nomos, Baden BAdeb, 2005
Seller: Antiquariat Stefan Krüger, Essen, NRW, Germany
Seller rating 3 out of 5 stars
Pappband. 2. Auflage. 2005. LXVIII, 996 S. Opp. Neupreis 98,00, (Recht). Buch.
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Gebundene Ausgabe. Condition: Sehr gut. Gebraucht - Sehr gut 4. Aufl., - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt, Versand Büchersendung.
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Der Erbprozess: Mit Erbscheinsverfahren Und Teilungsversteigerung
Language: German
Published by Nomos Verlagsgesellschaft, 2023
ISBN 10: 375600273X ISBN 13: 9783756002733
Hardcover. Condition: Brand New. 6th edition. 1125 pages. German language. 9.45x6.65x2.01 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Predicting the Lineage Choice of Hematopoietic Stem Cells
Book 30 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden Mai 2016, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
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 -Manuel Kroiss examines the differentiation of hematopoietic stem cells using machine learning methods. This work is based on experiments focusing on the lineage choice of CMPs, the progenitors of HSCs, which either become MEP or GMP cells. The author presents a novel approach to distinguish MEP from GMP cells using machine learning on morphology features extracted from bright field images. He tests the performance of different models and focuses on Recurrent Neural Networks with the latest advances from the field of deep learning. Two different improvements to recurrent networks were tested: Long Short Term Memory (LSTM) cells that are able to remember information over long periods of time, and dropout regularization to prevent overfitting. With his method, Manuel Kroiss considerably outperforms standard machine learning methods without time information like Random Forests and Support Vector Machines. 84 pp. Englisch.
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Predicting the Lineage Choice of Hematopoietic Stem Cells
Book 30 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Mai 2016, 2016
ISBN 10: 365812878X ISBN 13: 9783658128784
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 -Manuel Kroiss examines the differentiation of hematopoietic stem cells using machine learning methods. This work is based on experiments focusing on the lineage choice of CMPs, the progenitors of HSCs, which either become MEP or GMP cells. The author presents a novel approach to distinguish MEP from GMP cells using machine learning on morphology features extracted from bright field images. He tests the performance of different models and focuses on Recurrent Neural Networks with the latest advances from the field of deep learning. Two different improvements to recurrent networks were tested: Long Short Term Memory (LSTM) cells that are able to remember information over long periods of time, and dropout regularization to prevent overfitting. With his method, Manuel Kroiss considerably outperforms standard machine learning methods without time information like Random Forests and Support Vector Machines.Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg 84 pp. Englisch.
