Esuli andrea (22 risultati)
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Learning to Quantify (The Information Retrieval Series)
Esuli, Andrea; Fabris, Alessandro; Moreo, Alejandro; Sebastiani, Fabrizio
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Lingua: Inglese
Editore: Springer-Nature New York Inc, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 153 pages. 9.25x6.10x0.33 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides an introduction and an overview of learning to quantify (a.k.a. 'quantification'), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learnin…g to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate ('biased') class proportion estimates.The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research.The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate ('macro') data rather than on individual ('micro') data.
Altre immaginiLingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Learning to Quantify | Andrea Esuli (u. a.) | Taschenbuch | The Information Retrieval Series | xvi | Englisch | 2023 | Springer | EAN 9783031204661 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: pre…igu.
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Taschenbuch. Condizione: Neu. Automatic Generation of Lexical Resources for Opinion Mining | Models, Algorithms and Applications | Andrea Esuli | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836473330 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[d…ot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This open access book provides an introduction and an overview of learning to quantify (a.k.a. ¿quantification¿), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science,… learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (¿biased¿) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (¿macrö) data rather than on individual (¿micrö) data.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature B.V., 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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Lingua: Inglese
Editore: Springer Nature B.V., 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Springer International Publishing Mrz 2023, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book provides an introduction and an overview of learning to quantify (a.k.a. 'quantification'), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data…science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate ('biased') class proportion estimates.The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research.The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate ('macro') data rather than on individual ('micro') data. 156 pp. Englisch.
Learning to Quantify: 47 (The Information Retrieval Series)
Esuli, Andrea; Fabris, Alessandro; Moreo, Alejandro; Sebastiani, Fabrizio
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Learning to Quantify: 47 (The Information Retrieval Series)
Esuli, Andrea; Fabris, Alessandro; Moreo, Alejandro; Sebastiani, Fabrizio
Lingua: Inglese
Editore: Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Istituto di Scienza e Tecnologie dell'Informazione|Springer, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This open access book provides an introduction and an overview of learning to quantify (a.k.a. quantification ), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised lear…ning. In data science, learning to qu.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Mär 2023, 2023
Serie: The Information Retrieval, Libro 40 di 42. Libro 40 di 42 - The Information Retrieval
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book provides an introduction and an overview of learning to quantify (a.k.a. ¿quantification¿), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data scie…nce, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (¿biased¿) class proportion estimates.The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research.The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (¿macrö) data rather than on individual (¿micrö) data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Esuli AndreaAndrea Esuli is a Researcher at the Institute of Information Science and Technologies, an institute of the Italian National Research Council. His primary areas of research are text classifi…cation, information extraction, .
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Opinion mining is a recent discipline at the crossroads of Information Retrieval and of Computational Linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. It has a rich set of applica…tions, ranging from tracking users' opinions about products or about political candidates as expressed in online forums, to customer relationship management. Functional to the extraction of opinions from text is the determination of the relevant entities of the language that are used to express opinions, and their opinion-related properties. For example, determining that the term beautiful casts a positive connotation to its subject. In this book we investigate on the automatic recognition of opinion-related properties of terms. This results into building opinion-related lexical resources, which can be used into opinion mining applications.
