1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem
Geand Trindade Pereira, Moises Rocha dos Santos, Andre Carlos Ponce de Leon Ferreira de Carvalho
With the popularity of Machine Learning (ML) solutions, algorithms and data have been released faster than the capacity of processing them. In this context, the problem of Algorith…
cs.LG2019
Transfer Learning for Algorithm Recommendation
Gean Trindade Pereira, Moisés dos Santos, Edesio Alcobaça +2
Meta-Learning is a subarea of Machine Learning that aims to take advantage of prior knowledge to learn faster and with fewer data [1]. There are different scenarios where meta-lear…