Feature selection using Joint Mutual Information Maximisation

Author:

Bennasar Mohamed,Hicks Yulia,Setchi Rossitza

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference48 articles.

1. Bache, K., & Lichman, M. (2013). UCI machine learning repository. Irvine, CA: University of California, School of Information and Computer Science. (http://archive.ics.uci.edu/ml).

2. Feature based image classification by using principal component analysis;Bajwa;ICGST International Journal on Graphics Vision and Image Processing,2009

3. Using mutual information for selecting features in supervised neural net learning;Battiti;IEEE Transactions on Neural Networks,1994

4. A review of feature selection methods on synthetic data;Bolón-Canedo;Knowledge and Information Systems,2013

5. Conditional likelihood maximisation: a unifying framework for information theoretic feature selection;Brown;Journal of Machine Learning Research,2012

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