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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data free ebook download

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Computer Science

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Author(s):	Anuj Karpatne

Date:	2022	Format:	pdf	Language:	English	ISBN/ASIN:	0367693410
Pages:	1	OCR:		Quality:		ISBN13:	9780367693411
Uploader:	tvladb77	Upload Date:	8/6/2022 2:08:59 AM

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Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field.

Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers.

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Tags: Accelerating Data Discovery Guided Knowledge Learning Machine Scientific using

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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data free ebook download

Category: Computer Science

Description: Click to see full description

Category:
Computer Science