Claim Models: Granular Forms and Machine Learning Forms

Taylor, Greg · MDPI - Multidisciplinary Digital Publishing Institute

Supplementary material available

Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Author / responsible party

Taylor, Greg

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

ISBN

9783039286645;9783039286652

Resource access

Open the content from the main option or choose another available source.

DOAB DOAB Books

Entrar por DOAB

Main access

Supplementary material available

El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.

Open material

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Taylor, G. (s. f.). Claim Models: Granular Forms and Machine Learning Forms. MDPI - Multidisciplinary Digital Publishing Institute. https://nodovox.com/record.php?id=168587

MLA

Taylor, Greg. Claim Models: Granular Forms and Machine Learning Forms. MDPI - Multidisciplinary Digital Publishing Institute. https://nodovox.com/record.php?id=168587.

Chicago

Taylor, Greg. s. f. Claim Models: Granular Forms and Machine Learning Forms. MDPI - Multidisciplinary Digital Publishing Institute. https://nodovox.com/record.php?id=168587.

Harvard

Taylor, G. s. f, Claim Models: Granular Forms and Machine Learning Forms, MDPI - Multidisciplinary Digital Publishing Institute, available at: https://nodovox.com/record.php?id=168587 [Accessed 10 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

RIS BibTeX

Resource details

Bibliographic information to help confirm that this is the correct material.

Title: Claim Models: Granular Forms and Machine Learning Forms

Author / contributors: Taylor, Greg

Publisher: MDPI - Multidisciplinary Digital Publishing Institute

ISBN: 9783039286645;9783039286652