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07/31/2023
An Efficient Shapley Value Computation for the Naive Bayes Classifier
Variable selection or importance measurement of input variables to a mac...
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12/22/2022
Co-clustering based exploratory analysis of mixed-type data tables
Co-clustering is a class of unsupervised data analysis techniques that e...
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12/22/2022
Model Based Co-clustering of Mixed Numerical and Binary Data
Co-clustering is a data mining technique used to extract the underlying ...
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04/27/2022
Open challenges for Machine Learning based Early Decision-Making research
More and more applications require early decisions, i.e. taken as soon a...
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02/06/2019
Un modèle Bayésien de co-clustering de données mixtes
We propose a MAP Bayesian approach to perform and evaluate a co-clusteri...
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05/06/2015
Cats & Co: Categorical Time Series Coclustering
We suggest a novel method of clustering and exploratory analysis of temp...
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03/20/2015
