Helleputte (7 results)
Language: French
Published by Editions Van Cromphout, Lessines, 1975
- Softcover
Seller: L'ivre d'Histoires, Merbes Sainte Marie, BelgiumL'ivre d'Histoires
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Add to basketCouverture souple. Condition: Bon. 36 pages.
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Stable Feature Selection in Empty Spaces | Applications to Gene Profiling and Diagnosis from DNA Microarrays | Thibault Helleputte | Taschenbuch | 268 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844390148 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42…, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
LA REPRÉSENTATION PROPORTIONNELLE À LA CHAMBRE DES REPRÉSENTANTS [proportionelle; Reliure: ''Hommage Monsieur Broers'']. - Rapport de M.Delbeke; Discours de MM Rosseuw, Helleputte, Woeste, Liebaert, Heynen, Delbeke, Schollaert, Dohet et Coremans.
DELBEKE, M. (Rapport) / Rosseuw; Helleputte; Woeste; Liebaert; Heynen; Delbeke; Schollaert; Dohet; Coremans (Discours) / Broers (Proenance):
Published by Bruxelles, Imprimerie de Couvrier de Bruxeles - J. Loos Éditeur, 1894., 1894
Seller: C O - L I B R I , Bremen - Berlin ; Deutschland / Germany ., Berlin, GermanyC O - L I B R I , Bremen - Berlin ; Deutschland / Germany .
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Add to basket123 pages. - Toile rouge de lèditeur avec titre doré et bandelette-marquepage tricoloré (noir, jaune et rouge); 8vo.(ca. 22 x 18 cm). *** Édition original de la discussion de la partition du parlement entre les députés de la Flandre et la Wallonie, un conflit pas vraiment résolu. . . - Petite trace d'agesse extérieure; autrement… très bon exemplaire.
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2011, 2011
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many technological fields produce data characterised by a steadily growing number of dimensions. That number is however often growing much faster than the number of points available. A typical illustration of this trend is Genomics.… This setting makes many machine learning applications subject to the curse of dimensionality, making difficult the estimation of robust predictive models. This book focuses on the design and application of techniques achieving both sparse feature selection and estimation of models with good classification performance in high-dimensional, empty spaces. This challenge can be successfully addressed provided that adequate inductive biases are used to mitigate the lack of extra samples. Those biases can consist either of taking many different views of the data only (ensemble methods), or of the use of external extra information, either field expert prior knowledge or other datasets about related tasks (transfer learning or multi-task learning). The proposed methods are tested over gene expression microarray datasets for diagnosis and biomarker discovery. Those datasets are typically made of few tens of samples (patients) and thousands of dimensions (genes). 268 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2011, 2011
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many technological fields produce data characterised by a steadily growing number of dimensions. That number is however often growing much faster than the number of points available. A typical illustration of this trend is Genomics. Thi…s setting makes many machine learning applications subject to the curse of dimensionality, making difficult the estimation of robust predictive models. This book focuses on the design and application of techniques achieving both sparse feature selection and estimation of models with good classification performance in high-dimensional, empty spaces. This challenge can be successfully addressed provided that adequate inductive biases are used to mitigate the lack of extra samples. Those biases can consist either of taking many different views of the data only (ensemble methods), or of the use of external extra information, either field expert prior knowledge or other datasets about related tasks (transfer learning or multi-task learning). The proposed methods are tested over gene expression microarray datasets for diagnosis and biomarker discovery. Those datasets are typically made of few tens of samples (patients) and thousands of dimensions (genes).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many technological fields produce data characterised by a steadily growing number of dimensions. That number is however often growing much faster than the number of points available. A typical illustration of this trend is Genomics. This… setting makes many machine learning applications subject to the curse of dimensionality, making difficult the estimation of robust predictive models. This book focuses on the design and application of techniques achieving both sparse feature selection and estimation of models with good classification performance in high-dimensional, empty spaces. This challenge can be successfully addressed provided that adequate inductive biases are used to mitigate the lack of extra samples. Those biases can consist either of taking many different views of the data only (ensemble methods), or of the use of external extra information, either field expert prior knowledge or other datasets about related tasks (transfer learning or multi-task learning). The proposed methods are tested over gene expression microarray datasets for diagnosis and biomarker discovery. Those datasets are typically made of few tens of samples (patients) and thousands of dimensions (genes).
