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Homepage

Přihlášení

Přihlaste se účtem své organizace prostřednictvím eduID.

english česky
  • Publications
  • Institute
    • About us
    • Organigram
    • Management
    • Advisory Board
    • Annual reports and budgets
    • Information by 106/1999 Coll.
    • Whistleblowing
    • Exhibition of comp. technology
    • Privacy Policy
  • Research
    • Projects
    • Research subject
    • Awards
    • Best Publication Competition
    • Popularization
  • News
  • Applications
    • Transfer department
    • Applied Informatics
    • Competencies
    • References
  • Events
  • Library
    • About Library
    • Scientific Sources
    • Publications
    • Petr Hájek Library
  • Jobs
    • Job Offers
    • Topics for PhD studies
    • Radius Internships
  • Contacts
  • Departments
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  1. Home /
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  4. Complexity of perceptron and kernel networks

Complexity of perceptron and kernel networks

Období: 2008 — 2010
Poskytovatel: GA ČR
Financování: GA

Publikace projektu

  • Learning of Multilayer Perceptrons with Piecewise-Linear Activation Functions (2008)
  • Combinatorial Development of Solid Catalytic Materials. Design of High Throughput Experiments, Data Analysis, Data Mining (2009)
  • Integral Combinations of Heavisides (2010)
  • Approximate Minimization of the Regularized Expected Error over Kernel Models (2008)
  • Some Comparisons of Complexity in Dictionary-Based and Linear Computational Models (2011)