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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

approximate inference

biblio

Visible to the public Efficient Attack Graph Analysis Through Approximate Inference

Submitted by grigby1 on Tue, 02/06/2018 - 2:02pm
  • approximate inference
  • Bayesian networks
  • Human behavior
  • Human Factors
  • Metrics
  • Probabilistic Graphical Models
  • pubcrawl
  • Resiliency
  • Scalability
  • Security Risk Estimation
biblio

Visible to the public Using synthetic data to train neural networks is model-based reasoning

Submitted by grigby1 on Wed, 12/20/2017 - 1:03pm
  • Captcha-breaking architecture
  • human beings
  • wikipedia
  • Training
  • task-specific posterior uncertainty
  • synthetic-data generative model
  • synthetic training data
  • proposal distribution generator learning
  • Neural networks
  • neural network training
  • neural network parameter optimization
  • neural network generalization
  • model-based reasoning
  • Facebook
  • Computational modeling
  • pubcrawl
  • Bayesian model-based reasoning
  • approximate inference
  • captchas
  • CAPTCHA
  • neural nets
  • Generators
  • social networking (online)
  • Web sites
  • Training data
  • learning (artificial intelligence)
  • Data models
  • composability
  • Human Factors
  • Human behavior

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