Arbitrage of forecasting experts

The online performance estimation framework: heterogeneous ensemble learning for data streams

(2017) Jan N. van Rijn et al.   MACHINE LEARNING

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

Recurrent concepts in data streams classification

(2013) João Gama et al.   KNOWLEDGE AND INFORMATION SYSTEMS

MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data

(2013) André Luis Debiaso Rossi et al.   NEUROCOMPUTING

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

(2012) Alysha M. De Livera et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

(2008) Xiaozhe Wang et al.   NEUROCOMPUTING