Author: Silas Garrido
Adaptable Diversity-based Online Boosting (ADOB) [1] is a modified version of the online boosting, as proposed by Oza and Russell, which is aimed at speeding up the experts recovery after concept drifts. The corresponding code can be downloaded via the link below:
[1] S. G. T. C. Santos, P. M. Gonçalves, Jr., G. D. S. Silva, and R. S. M. Barros, “Speeding up recovery from concept drifts” in Machine Learning and Knowledge Discovery in Databases, ser. LNCS. Springer, 2014, vol. 8726, pp. 179–194.
Silas Garrido - sgtcs@cin.ufpe.br