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Novosti strojnega učenja

Znanstvena založba Nova Science Publishers iz New Yorka je nedavno izdala knjigo z naslovom Advances in Machine Learning Research (Napredek v raziskavah strojnega učenja). Tretje poglavje z naslovom  Optimization for Multi-Layer Perceptron: Without the Gradient, je plod slovenske znanosti in opisuje dve novi metodi strojnega učenja. Obe sta nadgradnja zelo uveljavljene metode Backpropagation, ki je temelj delovanja nevronskih mrež, ki so ene od najbolj razširjenih naprav na področju umetne inteligence. Novi metodi pomenita velik napredek, saj odpravljata ozko grlo umetne inteligence - izboljšujeta potek in rezultat učenja.



  
Prva metod se imenuje Bipropagation in je majnša izboljšava, ki omogoča mnogo hitrejše in bolj zanesljivo učenje. Druga metoda - Metoda mejnih parov (angleško Border Pairs Method, BPM) je povsem izvirna in ima številne prednosti pred metodo Backpropagation:

  • samodejno najde primerno zgradbo nevronske mreže (MLP),
  • vedno najde rešitev,
  • za učenje uporablja le ustrezne vzorce,
  • roji vzorce, 
  • poišče kvalitetne značilke,
  • omogoča kvalitetno razšumljanje in
  • že pred pričetkom učenja  ugotovi kako zahtevni so učni vzorci.


Čas bo pokazal kako se bodo na noviteti odzvali znanstveniki in gospodarstveniki. Prvi odzivi znanstvene skupnosti so zelo dobri. Če ti je ta sestavek všečen, klikni G+ spodaj!

  
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