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December 6, 2023December 8, 2023 by alkhwarizmi

Mouad Elhamdi

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  \begin{quote}         \begin{center}             \textbf{Optimization Techniques for Neighbor Embedding Methods}         \end{center}         \medskip        Neighbor embedding methods are crucial in machine learning and data analysis, capturing the intricate structures of complex datasets by mapping high-dimensional data into lower-dimensional spaces while preserving local relationships among points. The success of neighbor embedding hinges on effective optimization. This discussion concisely reviews advanced optimization techniques designed to enhance the performance of neighbor embedding algorithms. \end{quote}

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Mathematics and Decision
  • Invited speakers
  • Program
  • Book of Abstracts
  • Registration
  • Mini-Symposiums
  • Abstract submission
  • Organizers
  • Scientific committee
  • Local organizers
  • Fees
  • Housing
  • The venue
  • Flyer
  • Participants
  • Mathematics & Decision 2023