Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Kunstig intelligens
  3. Ekspert - og vidensbaserede systemer
Learning to Quantify
Af: Alejandro Moreo, Alessandro Fabris, Andrea Esuli, Fabrizio Sebastiani
Engelsk Paperback
Se mere i:
Learning to Quantify
Af: Alejandro Moreo, Alessandro Fabris, Andrea Esuli, Fabrizio Sebastiani
Engelsk Paperback
Paperback
383 kr
Tilføj til kurv
Sikker betaling
6 - 8 hverdage
Om denne bog

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.



Vis mere
Product detaljer
Sprog:
Engelsk
Sider:
137
ISBN-13:
9783031204661
Indbinding:
Paperback
Udgave:
ISBN-10:
3031204662
Kategori:
Udg. Dato:
17 mar 2023
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer International Publishing AG
Oplagsdato:
17 mar 2023
Forfatter(e):
Kategori sammenhænge