Paperback. Condizione: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2023
ISBN 10: 3031204662 ISBN 13: 9783031204661
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 48,77
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 1st ed. 2023. 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 38,31
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 41,53
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Da: Chiron Media, Wallingford, Regno Unito
EUR 37,27
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Aggiungi al carrellopaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 43,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011
ISBN 10: 364224582X ISBN 13: 9783642245824
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book constitutes the proceedings of the 18th International Symposium on String Processing and Information Retrieval, SPIRE 2011, held in Pisa, Italy, in October 2011.The 30 long and 10 short papers together with 1 keynote presented were carefully reviewed and selected from 102 submissions. The papers are structured in topical sections on introduction to web retrieval, sequence learning, computational geography, space-efficient data structures, algorithmic analysis of biological data, compression, text and algorithms. This book constitutes the proceedings of the 18th International Symposium on String Processing and Information Retrieval, SPIRE 2011, held in Pisa, Italy, in October 2011. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2023
ISBN 10: 3031204662 ISBN 13: 9783031204661
Da: Revaluation Books, Exeter, Regno Unito
EUR 67,91
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 153 pages. 9.25x6.10x0.33 inches. In Stock.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Istituto di Scienza e Tecnologie dell'Informazione|Springer, 2023
ISBN 10: 3031204662 ISBN 13: 9783031204661
Da: moluna, Greven, Germania
EUR 45,36
Quantità: 1 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. 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 qu.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2011
ISBN 10: 364224582X ISBN 13: 9783642245824
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,55
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 442 pages. 9.20x6.10x0.80 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 303113642X ISBN 13: 9783031136429
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 13th International Conference of the CLEF Association, CLEF 2022, held in Bologna, Italy in September 2022.The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data.The 7 full papers presented together with 3 short papers in this volume were carefully reviewed and selected from 14 submissions. This year, the contributions addressed the following challenges: authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on childrens conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction.In addition to this, the volume presents 7 best of the labs papers which were reviewed as full paper submissions with the same review criteria. 14 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 91,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 88,33
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Da: Chiron Media, Wallingford, Regno Unito
EUR 88,11
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2003
ISBN 10: 3540012745 ISBN 13: 9783540012740
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 25th European Conference on Information Retrieval Research, ECIR 2003, held in Pisa, Italy, in April 2003. The 31 revised full papers and 16 short papers presented together with two invited papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on IR and the Web; retrieval of structured documents; collaborative filtering and text mining; text representation and natural language processing; formal models and language models for IR; machine learning and IR; text categorization; usability, interactivity, and visualization; and architectural issues and efficiency. The European Conference on Information Retrieval Research, now in its 25th Silver Jubilee edition, was initiallyestablished bythe Information Retrieval Specialist Group of the British Computer Society(BCS-IRSG) under the name Annual Colloquium on Information Retrieval Research, and was always held in the United Kingdom until 1997. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 100,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2023
ISBN 10: 3031204662 ISBN 13: 9783031204661
Da: Rarewaves.com UK, London, Regno Unito
EUR 45,71
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 1st ed. 2023. 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.
Condizione: As New. Unread book in perfect condition.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 118,76
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 112,11
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Aggiungi al carrelloCondizione: New. In.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030721124 ISBN 13: 9783030721121
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Paperback. Condizione: new. Paperback. This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic.The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions.The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2003
ISBN 10: 3540012745 ISBN 13: 9783540012740
Da: moluna, Greven, Germania
EUR 92,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 135,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.