Information about Test

  1. List of theorems

    automata) Cut-elimination theorem (proof theory) Cybenko theorem (neural networks) Dandelin's theorem (solid geometry) Danskin's theorem (convex analysis)

  2. Super-resolution imaging

    has also been shown. There is promising research on using deep convolutional networks to perform super-resolution. In particular work has been demonstrated

  3. Charles Fefferman

    has studied mathematical physics, harmonic analysis, fluid dynamics, neural networks, geometry, mathematical finance and spectral analysis, amongst others

  4. Index of electronics articles

    character – Net gain – Netlist – Network administration – Network architecture – Network management – Neural network – Neutral direct-current telegraph

  5. Volterra series

    prove the Volterra theorem, is an infinite sum of multidimensional convolutional integrals. The Volterra series is a modernized version of the theory

  6. Philip Kellman

    Baker, N., Lu, H., Erlikhman, G. & Kellman, P.J. (in press). Deep convolutional networks do not classify based on global object shape. PLoS: Computational

  7. Kernel methods for vector output

    community was algorithmic in nature, and applied to methods such as neural networks, decision trees and k-nearest neighbors in the 1990s. The use of probabilistic

  8. Adaptive filter

    Adaptive Filter and Urysohn Adaptive Filter . Many authors include also Neural networks into this list. The general idea behind Volterra LMS and Kernel LMS

  9. Language processing in the brain

    PMID 23084876. Turken AU, Dronkers NF (2011). "The neural architecture of the language comprehension network: converging evidence from lesion and connectivity

  10. List of statistics articles

    Armitage–Doll multistage model of carcinogenesis Arrival theorem Artificial neural network Ascertainment bias ASReml – software Association (statistics) Association