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Cyber-Physical Systems Virtual Organization

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

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Newton method

biblio

Visible to the public Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques

Submitted by grigby1 on Mon, 10/05/2020 - 2:11pm
  • Scalability
  • Neural networks
  • Newton method
  • nonconvex functions
  • optimisation
  • optimization
  • pubcrawl
  • Quasi-Newton methods
  • resilience
  • Resiliency
  • memory storage
  • security
  • Signal processing algorithms
  • storage management
  • Training
  • training responses
  • TRMinATR
  • Trust-region methods
  • trust-region minimization algorithm
  • Hessian matrices
  • computational complexity
  • computer architecture
  • computer theory
  • deep learning
  • Europe
  • gradient descent methods
  • gradient methods
  • Hessian approximations
  • approximation theory
  • Hessian matrix inversion
  • Human Factors
  • learning (artificial intelligence)
  • limited memory BFGS quasiNewton method
  • Limited-memory BFGS
  • Line-search methods
  • machine learning
  • matrix inversion

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