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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

linking provenance

biblio

Visible to the public The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning

Submitted by aekwall on Mon, 03/30/2020 - 11:33am
  • end-to-end explainability
  • basic transformations
  • consistent data
  • data analysis pipeline
  • data pre-processing steps
  • data preparation
  • distributed file system
  • distributed machine learning
  • distributed setting
  • machine learning models
  • entire data set
  • explainable machine learning
  • explainable models
  • homogeneous data
  • linking provenance
  • machine learning experts
  • single data
  • Distributed databases
  • learning (artificial intelligence)
  • Resiliency
  • Human behavior
  • pubcrawl
  • composability
  • Computational modeling
  • Metrics
  • machine learning
  • Data models
  • data analysis
  • Entropy
  • Provenance
  • distributed system
  • Decision trees
  • data provenance
  • distributed computing

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