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researcher

Faïcel Chamroukhi

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • stat.ML1
ORCID 0000-0002-5894-3103

identity via Semantic Scholar / OpenAlex

activity
20142022
most citedRobust mixture of experts modeling using the t distribution

40 citations · 40 across the 4 of their papers we have counts for

collaborators

3 papers

stat.ME2016★ 40 cited

Robust mixture of experts modeling using the t distribution

Faicel Chamroukhi

Mixture of Experts (MoE) is a popular framework for modeling heterogeneity in data for regression, classification, and clustering. For regression and cluster analyses of continuous…

stat.ME2016

Robust mixture of experts modeling using the skew t distribution

Faicel Chamroukhi

Mixture of Experts (MoE) is a popular framework in the fields of statistics and machine learning for modeling heterogeneity in data for regression, classification and clustering. M…

stat.ME2014

Unsupervised learning of regression mixture models with unknown number of components

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 likel…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.