牢骚 发表于 2025-3-25 03:30:52

Sasan Adibi,Rozita Dara,Nilmini Wickramasinghe,Caroline Chan,Soumitri Varadarajan to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount tospecific design choices for the model, data, and loss of a ML method. .978-981-16-8195-0978-981-16-8193-6Series ISSN 2730-9908 Series E-ISSN 2730-9916

率直 发表于 2025-3-25 08:27:05

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conspicuous 发表于 2025-3-25 13:11:08

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verdict 发表于 2025-3-25 16:32:23

Relevance Realization and the Neurodynamics and Neuroconnectivity of General Intelligence,

Introduction 发表于 2025-3-25 21:16:49

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不透气 发表于 2025-3-26 04:00:03

A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services,

largesse 发表于 2025-3-26 08:17:58

Unconstrain the Population: The Benefits of Horizontal Gene Transfer in Genetic Algorithms,

absorbed 发表于 2025-3-26 11:22:32

A Robust System for Distributed Data Mining and Preserving-Privacy,

delegate 发表于 2025-3-26 15:52:22

A Distributed Mobile Application for Data Collection with Intelligent Agent Based Data Management P

Chandelier 发表于 2025-3-26 19:21:32

Security Risks Assessment Based on Intelligent Systems and Attack Graphs,
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查看完整版本: Titlebook: SmartData; Privacy Meets Evolut Inman Harvey,Ann Cavoukian,Dimitrios Hatzinakos Conference proceedings 2013 Springer Science+Business Media