Learning in the Absence of Training Data

This book introduces the concept of “bespoke learning”, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generally provides information about the system’s behaviour/structure,...

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Detaylı Bibliyografya
Yazar:	Chakrabarty, Dalia (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edisyon:	1st ed. 2023.
Konular:	Statistics . Data mining. Probabilities. Statistical Theory and Methods. Bayesian Inference. Data Mining and Knowledge Discovery. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Probability Theory.
Online Erişim:	https://doi.org/10.1007/978-3-031-31011-9
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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Learning in the Absence of Training Data

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