Selecting Features from Low Quality Datasets by a Fuzzy Ensemble

Selecting Features from Low Quality Datasets by a Fuzzy Ensemble is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDconf/ijcci/CadenasGM12a
P356DOI10.1007/978-3-319-11271-8_15

P2093author name stringR. Martínez
J. M. Cadenas
M. C. Garrido
P2860cites workExtending information processing in a Fuzzy Random Forest ensembleQ57603511
OFP_CLASS: a hybrid method to generate optimized fuzzy partitions for classificationQ57603513
A classification and regression technique to handle heterogeneous and imperfect informationQ57603528
A fuzzy random forestQ57603530
A new hybrid ant colony optimization algorithm for feature selectionQ60686653
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problemsQ62608504
Gene selection and classification of microarray data using random forest.Q25255911
In search of the small ones: improved prediction of short exons in vertebrates, plants, fungi and protistsQ34001765
Using mutual information for selecting features in supervised neural net learningQ51652238
Statistical pattern recognition: a reviewQ56115964
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
P921main subjectdata setQ1172284
P304page(s)229-243
P577publication date2015-01-01
P1433published inStudies in Computational IntelligenceQ29043830
P1476titleSelecting Features from Low Quality Datasets by a Fuzzy Ensemble

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