Unsupervised learning of regression mixture models with unknown number of components

24 Sep 2014 Faicel Chamroukhi

Regression mixture models are widely studied in statistics, machine learning and data analysis. Fitting regression mixtures is challenging and is usually performed by maximum likelihood by using the expectation-maximization (EM) algorithm... (read more)

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