Grupo de Aprendizaje Automático - Universidad Autónoma de Madrid

Functional Data Analysis Python package

RC-MF is a two-stage recommender framework that improves biased matrix factorization through regularized residual calibration.

Experiments included in the paper "Recursive maxima hunting: variable selection in functional data classification".

Robust multi-task boosting using clustering and local ensembling

Robust Multi-Task Gradient Boosting

Multi-Task Gradient Boosting

Condensed-Gradient Boosting

Deep Learning for Multi-Output Regression using Gradient Boosting

Gradient Boosted Neural Network

Gradient Boosted Neural Network - Multi Output