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Golay, Jean, Leuenberger, Michael, Kanevski, Mikhail (2017) Feature selection for regression problems based on the Morisita estimator of intrinsic dimension. Pattern Recognition, 70. 126-138 doi:10.1016/j.patcog.2017.05.008

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Reference TypeJournal (article/letter/editorial)
TitleFeature selection for regression problems based on the Morisita estimator of intrinsic dimension
JournalPattern Recognition
AuthorsGolay, JeanAuthor
Leuenberger, MichaelAuthor
Kanevski, MikhailAuthor
Year2017 (October)Volume70
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.05.008Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367037Long-form Identifiermindat:1:5:9367037:3
GUID0
Full ReferenceGolay, Jean, Leuenberger, Michael, Kanevski, Mikhail (2017) Feature selection for regression problems based on the Morisita estimator of intrinsic dimension. Pattern Recognition, 70. 126-138 doi:10.1016/j.patcog.2017.05.008
Plain TextGolay, Jean, Leuenberger, Michael, Kanevski, Mikhail (2017) Feature selection for regression problems based on the Morisita estimator of intrinsic dimension. Pattern Recognition, 70. 126-138 doi:10.1016/j.patcog.2017.05.008
In(2017) Pattern Recognition Vol. 70. Elsevier BV

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Golay, Jean, Kanevski, Mikhail (2015) A new estimator of intrinsic dimension based on the multipoint Morisita index. Pattern Recognition, 48 (12). 4070-4081 doi:10.1016/j.patcog.2015.06.010
Golay, Jean, Kanevski, Mikhail, Vega Orozco, Carmen D., Leuenberger, Michael (2014) The multipoint Morisita index for the analysis of spatial patterns. Physica A: Statistical Mechanics and its Applications, 406. 191-202 doi:10.1016/j.physa.2014.03.063
Telesca, Luciano, Golay, Jean, Kanevski, Mikhail (2015) Morisita-based space-clustering analysis of Swiss seismicity. Physica A: Statistical Mechanics and its Applications, 419. 40-47 doi:10.1016/j.physa.2014.10.004
Peng, Xinjun, Xu, Dong (2013) A local information-based feature-selection algorithm for data regression. Pattern Recognition, 46 (9). 2519-2530 doi:10.1016/j.patcog.2013.02.010
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Lee, Jaesung, Kim, Dae-Won (2017) SCLS: Multi-label feature selection based on scalable criterion for large label set. Pattern Recognition, 66. 342-352 doi:10.1016/j.patcog.2017.01.014
Zou, Xiongtao; Dai, Jianhua (2026) Feature selection based on rough diversity entropy. Pattern Recognition, 170. doi:10.1016/j.patcog.2025.112032
Li, Feng, Miao, Duoqian, Pedrycz, Witold (2017) Granular multi-label feature selection based on mutual information. Pattern Recognition, 67. 410-423 doi:10.1016/j.patcog.2017.02.025
Micheletti, Natan, Foresti, Loris, Robert, Sylvain, Leuenberger, Michael, Pedrazzini, Andrea, Jaboyedoff, Michel, Kanevski, Mikhail (2014) Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping. Mathematical Geosciences, 46 (1). 33-57 doi:10.1007/s11004-013-9511-0
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