Michael Muhlbaier

According to our database, Michael Muhlbaier authored at least 7 papers between 2004 and 2010.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2010

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

Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar

Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

2009

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

Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar

IEEE Trans. Neural Networks, 2009

2008

Learning concept drift in nonstationary environments using an ensemble of classifiers based approach.

Matthew T. Karnick, Metin Ahiskali, Michael Muhlbaier, Robi Polikar

Proceedings of the International Joint Conference on Neural Networks, 2008

Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach.

Matthew T. Karnick, Michael Muhlbaier, Robi Polikar

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

An Ensemble Approach for Incremental Learning in Nonstationary Environments.

Michael Muhlbaier, Robi Polikar

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2005

Ensemble Confidence Estimates Posterior Probability.

Michael Muhlbaier, Apostolos Topalis, Robi Polikar

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004

Learn++.MT: A New Approach to Incremental Learning.

Michael Muhlbaier, Apostolos Topalis, Robi Polikar

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004