Knowledge Guided Machine Learning: Accelerating Discovery...

Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data

Taylor & Francis Group
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Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some of the common themes of research in SGML, using illustrative examples and case studies from diverse application domains and research communities as contributed book chapters.
年:
2022
出版社:
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
语言:
english
页:
442
ISBN 10:
0367693410
ISBN 13:
9780367693411
文件:
PDF, 91.33 MB
IPFS:
CID , CID Blake2b
english, 2022
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