M. Muhlbaier

Ensemble Confidence Estimates Posterior Probability

Robi Polikar, Apostolos Topalis, Michael Muhlbaier, 2005, Multiple Classifier Systems.

Learn$^{++}$ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

Robi Polikar, Apostolos Topalis, Michael Muhlbaier, 2009, IEEE Transactions on Neural Networks.

An Ensemble Approach for Incremental Learning in Nonstationary Environments

Robi Polikar, Michael Muhlbaier, R. Polikar, 2007, MCS.

Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC

Gregory Ditzler, Robi Polikar, Michael Muhlbaier, 2010, MCS.

Learn$^{++}$ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

R. Polikar, M. Muhlbaier, A. Topalis, 2009, IEEE Transactions on Neural Networks.

Incremental learning from unbalanced data

R. Polikar, M. Muhlbaier, A. Topalis, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).