Learning to Quantify (eng)
Language: English
Published by Springer, 2023
- Softcover
- New
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
AbeBooks seller since October 11, 2022
Condition: New
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- Title
- Learning to Quantify (eng)
- Author
- Esuli, Andrea
- Publisher
- Springer
- Publication year
- 2023
- Condition
- new
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3031204662
- ISBN 13
- 9783031204661
- Item weight
- 0.26 kilograms
- Series
- Book 40 of 42: The Information Retrieval
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.
"Synopsis" may belong to another edition of this title.
About the Author
Andrea Esuli is a tenured Senior Researcher at the Italian National Council of Research. His research interests include learning to quantify, deep learning for text analysis, cross-modal classification, technology-assisted review, and representation learning.
Alessandro Fabris is a PhD student at the University of Padova. His research interests include learning to quantify, and the fairness and bias of retrieval and classification systems.
Alejandro Moreo is a tenured Researcher at the Italian National Council of Research. His research interests include learning to quantify, deep learning for text analysis, cross-lingual text classification, authorship analysis, and representation learning.
Fabrizio Sebastiani is a tenured Director of Research at the Italian National Council of Research. His research interests include learning to quantify, cross-lingual text classification, technology-assisted review, authorship analysis, and representation learning.
"About the title" may belong to another edition of this title.
Brook Bookstore On Demand
Napoli, NA, Italy
AbeBooks seller since October 11, 2022
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Brook Bookstore On Demand offers a wide selection of books with a continuously updated catalog and fast shipments all over the world. We hold distribution rights with all of the publishers we promote and are in continuous search of new interesting titles to propose to our customers. We are part of Brandon Group SRL (an Italian company) and all of the orders are shipped from Europe. Depending on availability orders will be picked from our different warehouses.
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