Leo Breiman

(Professor iha University of California, Berkeley)

iha area classification tanba nia dezenvolve métodu hanesan Decision Tree no Random Forest. Nia hatete katak sistema classification ne’ebé uza model barak hamutuk bele hasa’e presizaun (accuracy) no hamenus erru iha klasifikasaun data.

Nathalie Japkowicz

Professora Ciência Computador no Pesquizadora Machine Learning

problema classification bainhira data la balansadu (imbalanced data). Nia hatete katak importante tebes atu avaliasaun model classification labele haree de’it ba accuracy, maibé tenke konsidera mos model bele aprende loos husi data ne’ebé limitadu.

Tin Kam Ho

Cientista Computador no Pesquizador iha IBM Research

DRandom Forest no ensemble learning iha classification. Nia hatete katak uza model barak hamutuk bele halo sistema classification sai di’ak liu no konfiavel liu, liu-liu ba data ne’ebé kompleksu.

Bing Xue

Professora Machine Learning & AI iha Victoria University of Wellington

feature selection iha classification. Nia hatete katak hili feature ne’ebé loos bele hasa’e rezultadu classification, tanba model aprende di’ak liu no deside klase data ho presizaun aas.