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- Centre National de la Recherche ScientifiqueFR8 papers
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- Institute of Nuclear Physics, Polish Academy of SciencesPL6 papers
- Lomonosov Moscow State UniversityRU6 papers
- European Organization for Nuclear ResearchCH5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT5 papers
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro”IT5 papers
- University of GlasgowGB5 papers
- AGH University of KrakowPL4 papers
- Andrews UniversityUS4 papers
- Argonne National LaboratoryUS4 papers
4 papers · 1 filter
Advances in Feature Selection with Mutual Information
Michel Verleysen, Fabrice Rossi, Damien François
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h…
Resampling methods for parameter-free and robust feature selection with mutual information
Damien François, Fabrice Rossi, Vincent Wertz +1
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time.…
Fast Selection of Spectral Variables with B-Spline Compression
Fabrice Rossi, Damien François, Vincent Wertz +2
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables h…
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
Fabrice Rossi, Amaury Lendasse, Damien François +2
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of…