Fahime (42 results)

- Hardcover
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- Hardcover
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- Hardcover
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Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Mécanique du point matériel | Annales et Travaux dirigées corrigés | Benaissa El Fahime | Taschenbuch | Französisch | 2024 | Presses Académiques Francophones | EAN 9783841632050 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

- Softcover
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Taschenbuch. Condition: Neu. CAO, IAO & NUMERISATION 3D | Benaissa El Fahime | Taschenbuch | Französisch | 2023 | Éditions universitaires européennes | EAN 9786206700081 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

- Softcover
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Taschenbuch. Condition: Neu. TOLÉRANCEMENT DES SYSTÈMES MÉCATRONIQUES | Benaissa El Fahime | Taschenbuch | Französisch | 2021 | Éditions universitaires européennes | EAN 9786203426816 | Verantwortliche Person für die EU: Editions universitaires europeennes, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

- Softcover
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Taschenbuch. Condition: Neu. MODÉLISATION DU COMPORTEMENT DYNAMIQUE D'UN SYSTÈME MÉCATRONIQUE | APPLICATION AUX VEHICULES HYBRIDES ELECTRIQUES | Benaissa El Fahime (u. a.) | Taschenbuch | Französisch | 2023 | Éditions universitaires européennes | EAN 9786206700098 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

- Softcover
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Taschenbuch. Condition: Neu. Étude des systèmes mécatroniques incertains | Application à une éolienne à axe horizontal | Benaissa El Fahime (u. a.) | Taschenbuch | Französisch | 2023 | Presses Académiques Francophones | EAN 9783841632012 | Verantwortliche Person für die EU: Presses Academiques Francophones, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

- Hardcover
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Buch. Condition: Neu. Hüte dich vor den Männern, mein Sohn | Roman | Fahime Farsaie | Buch | Gebunden | Deutsch | 1998 | Dittrich Verlag GmbH | EAN 9783920862170 | Verantwortliche Person für die EU: Dittrich Verlag GmbH, Meckenheimer Str. 47, 53919 Weilerswist-Metternich, info[at]dittrich-verlag[dot]de | Anbieter: preigu. …

Language: German
Published by Dittrich Verlag ein Imprint der Velbrück GmbH Bücher und Medien, 1998
- Hardcover
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- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Deutsch | Produktart: Bücher | Keine Beschreibung verfügbar.

- Hardcover
- Print on Demand
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
- Print on Demand
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 276 pp. Englisch.

- Hardcover
- Print on Demand
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reference production, often termed Referring Expression Generation (REG) in computational linguistics, encompasses two distinct tasks: (1) one-shot REG, and (2) REG-in-context. One-shot REG explores which properties of a referent offer a unique description of it. In contrast, REG-in-context asks which (anaphoric) referring expressions are optimal at various points in discourse. This book offers a series of in-depth studies of the REG-in-context task. It thoroughly explores various aspects of the task such as corpus selection, computational methods, feature analysis, and evaluation techniques. The comparative study of different corpora highlights the pivotal role of corpus choice in REG-in-context research, emphasizing its influence on all subsequent model development steps. An experimental analysis of various feature-based machine learning models reveals that those with a concise set of linguistically-informed features can rival models with more features. Furthermore, this work highlights the importance of paragraph-related concepts, an area underexplored in Natural Language Generation (NLG). The book offers a thorough evaluation of different approaches to the REG-in-context task (rule-based, feature-based, and neural end-to-end), and demonstrates that well-crafted, non-neural models are capable of matching or surpassing the performance of neural REG-in-context models. In addition, the book delves into post-hoc experiments, aimed at improving the explainability of both neural and classical REG-in-context models. It also addresses other critical topics, such as the limitations of accuracy-based evaluation metrics and the essential role of human evaluation in NLG research. These studies collectively advance our understanding of REG-in-context. They highlight the importance of selecting appropriate corpora and targeted features. They show the need for context-aware modeling and the value of a comprehensive approach to model evaluation and interpretation. This detailed analysis of REG-in-context paves the way for developing more sophisticated, linguistically-informed, and contextually appropriate NLG systems.…

- Softcover
- Print on Demand
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alipour HadiHadi Alipour, borned in Ghaderabad, Shiraz, Iran, on 1977. He graduated with B.S Degree, in Hardware engineering from University of Isfahan, Iran, on 2000. Next, he earned his Degree of Master of science in Software Engin. …

Language: English
Published by Language Science Press, Language Science Press Jun 2024, 2024
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reference production, often termed Referring Expression Generation (REG) in computational linguistics, encompasses two distinct tasks: (1) one-shot REG, and (2) REG-in-context. One-shot REG explores which properties of a referent offer a unique description of it. In contrast, REG-in-context asks which (anaphoric) referring expressions are optimal at various points in discourse. This book offers a series of in-depth studies of the REG-in-context task. It thoroughly explores various aspects of the task such as corpus selection, computational methods, feature analysis, and evaluation techniques. The comparative study of different corpora highlights the pivotal role of corpus choice in REG-in-context research, emphasizing its influence on all subsequent model development steps. An experimental analysis of various feature-based machine learning models reveals that those with a concise set of linguistically-informed features can rival models with more features. Furthermore, this work highlights the importance of paragraph-related concepts, an area underexplored in Natural Language Generation (NLG). The book offers a thorough evaluation of different approaches to the REG-in-context task (rule-based, feature-based, and neural end-to-end), and demonstrates that well-crafted, non-neural models are capable of matching or surpassing the performance of neural REG-in-context models. In addition, the book delves into post-hoc experiments, aimed at improving the explainability of both neural and classical REG-in-context models. It also addresses other critical topics, such as the limitations of accuracy-based evaluation metrics and the essential role of human evaluation in NLG research. These studies collectively advance our understanding of REG-in-context. They highlight the importance of selecting appropriate corpora and targeted features. They show the need for context-aware modeling and the value of a comprehensive approach to model evaluation and interpretation. This detailed analysis of REG-in-context paves the way for developing more sophisticated, linguistically-informed, and contextually appropriate NLG systems. 276 pp. Englisch.…
More images- Hardcover
- Print on Demand
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Buch. Condition: Neu. Referring expression generation in context | Fahime Same | Buch | Englisch | 2024 | Language Science Press | EAN 9783985541003 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Farjami Fahimeborn in 1986, B.A in English Translation, M.A in TEFL, Teaching English at Universities in Iran right nowThis book is the out come of investigation in the history of grammar and different approaches in grammar teach.…

Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
- Softcover
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 244 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 244.

Language: French
Published by Presses Académiques Francophones Jan 2024, 2024
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 96 pp. Französisch.

Language: French
Published by Éditions Universitaires Européennes Dez 2023, 2023
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 100 pp. Französisch.

Language: French
Published by Éditions Universitaires Européennes Okt 2021, 2021
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La pluridisciplinarité des systèmes mécatroniques demande un changement de méthode dans le processus de conception et exige d'envisager des solutions originales qui n'avaient jusqu'alors pas été explorées ou autorisées par de nouvelles avancées technologiques.Le travail mené dans cet ouvrage porte sur la modélisation des systèmes mécatroniques et traite plus spécifiquement le problème de leur tolérancement. Ainsi nous avons adopté le formalisme Bond Graph qui favorise l'échange interdisciplinaire, la capitalisation de connaissance et la conception/modélisation/analyse des systèmes complexes (hétérogènes et multi-domaines).La prise en compte des tolérances est un point crucial pour l'étude de la robustesse en modélisation et au contrôle des systèmes mécatroniques. Dans cette optique, notre contribution vise à étendre la modélisation Bond Graph en introduisant certains défauts des produits mécatroniques en phase de conception. L'originalité de notre approche est de maîtriser les variations des paramètres de domaines physiques différents et leurs effets sur le fonctionnement du système. 132 pp. Französisch.…