Algorithms in Machine Learning Paradigms

Algorithms in Machine Learning Paradigms

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Marque : Springer Nature

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Productbeschrijving

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.

Product Specifications

SourceFeedType Shopping
CustomLabel1 EN
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CustomLabel0 Jyotsna Kumar Mandal; Somnath Mukhopadhyay; Paramartha Dutta; Kousik Dasgupta
Gtin 9789811510434
Availability in stock
AdvertiserName SpringerLink Shop INT
ProductType
  • Books > Engineering
IsBundle No
Condition New
Adult No
Material Soft cover
CustomLabel2 Springer
ItemListName EN

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