Dai, Jianhua; Liu, Qi; Zou, Xiongtao; Zhang, Chucai Feature selection based on fuzzy combination entropy considering global and local feature correlation. (English) Zbl 07759676 Inf. Sci. 652, Article ID 119753, 21 p. (2024). MSC: 68-XX 94-XX PDFBibTeX XMLCite \textit{J. Dai} et al., Inf. Sci. 652, Article ID 119753, 21 p. (2024; Zbl 07759676) Full Text: DOI
Chakraborty, Saptarshi; Xu, Jason Biconvex clustering. (English) Zbl 07792635 J. Comput. Graph. Stat. 32, No. 4, 1524-1536 (2023). MSC: 62-XX PDFBibTeX XMLCite \textit{S. Chakraborty} and \textit{J. Xu}, J. Comput. Graph. Stat. 32, No. 4, 1524--1536 (2023; Zbl 07792635) Full Text: DOI arXiv
Syed, Mujahid N. Feature selection in machine learning via variable neighborhood search. (English) Zbl 1528.68349 Optim. Lett. 17, No. 9, 2321-2345 (2023). MSC: 68T05 PDFBibTeX XMLCite \textit{M. N. Syed}, Optim. Lett. 17, No. 9, 2321--2345 (2023; Zbl 1528.68349) Full Text: DOI
Jain, Pankhuri; Som, Tanmoy Multigranular rough set model based on robust intuitionistic fuzzy covering with application to feature selection. (English) Zbl 07710389 Int. J. Approx. Reasoning 156, 16-37 (2023). MSC: 68T37 PDFBibTeX XMLCite \textit{P. Jain} and \textit{T. Som}, Int. J. Approx. Reasoning 156, 16--37 (2023; Zbl 07710389) Full Text: DOI
Valero-Carreras, Daniel; Alcaraz, Javier; Landete, Mercedes Comparing two SVM models through different metrics based on the confusion matrix. (English) Zbl 07706552 Comput. Oper. Res. 152, Article ID 106131, 12 p. (2023). MSC: 90Bxx PDFBibTeX XMLCite \textit{D. Valero-Carreras} et al., Comput. Oper. Res. 152, Article ID 106131, 12 p. (2023; Zbl 07706552) Full Text: DOI
Sun, Liqin; Yang, Youlong; Ning, Tong A novel feature selection using Markov blanket representative set and particle swarm optimization algorithm. (English) Zbl 1524.62624 Comput. Appl. Math. 42, No. 2, Paper No. 81, 32 p. (2023). MSC: 62R07 PDFBibTeX XMLCite \textit{L. Sun} et al., Comput. Appl. Math. 42, No. 2, Paper No. 81, 32 p. (2023; Zbl 1524.62624) Full Text: DOI
Femmam, Karima; Brahimi, Brahim; Femmam, Smain An optimized feature selection technique based on bivariate copulas “GBCFS”. (English) Zbl 07660687 J. Comb. Optim. 45, No. 2, Paper No. 74, 14 p. (2023). MSC: 68-XX PDFBibTeX XMLCite \textit{K. Femmam} et al., J. Comb. Optim. 45, No. 2, Paper No. 74, 14 p. (2023; Zbl 07660687) Full Text: DOI
Shu, Wenhao; Yu, Jianhui; Yan, Zhenchao; Qian, Wenbin Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach. (English) Zbl 07639186 Int. J. Approx. Reasoning 153, 258-279 (2023). MSC: 68T37 PDFBibTeX XMLCite \textit{W. Shu} et al., Int. J. Approx. Reasoning 153, 258--279 (2023; Zbl 07639186) Full Text: DOI
Das, Amit Kumar; Chakraborty, Basabi; Goswami, Saptarsi; Chakrabarti, Amlan A fuzzy set based approach for effective feature selection. (English) Zbl 1522.68560 Fuzzy Sets Syst. 449, 187-206 (2022). MSC: 68T37 68T05 PDFBibTeX XMLCite \textit{A. K. Das} et al., Fuzzy Sets Syst. 449, 187--206 (2022; Zbl 1522.68560) Full Text: DOI
Regler, Benjamin; Scheffler, Matthias; Ghiringhelli, Luca M. TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions. (English) Zbl 1509.68224 Data Min. Knowl. Discov. 36, No. 5, 1815-1864 (2022). MSC: 68T05 62H12 62H20 94A17 PDFBibTeX XMLCite \textit{B. Regler} et al., Data Min. Knowl. Discov. 36, No. 5, 1815--1864 (2022; Zbl 1509.68224) Full Text: DOI arXiv
Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Morán-Fernández, Laura; Cancela, Brais Feature selection: from the past to the future. (English) Zbl 1511.68219 Virvou, Maria (ed.) et al., Advances in selected artificial intelligence areas. World outstanding women in artificial intelligence. Cham: Springer. Learn. Anal. Intell. Syst. 24, 11-34 (2022). MSC: 68T05 68T09 PDFBibTeX XMLCite \textit{V. Bolón-Canedo} et al., Learn. Anal. Intell. Syst. 24, 11--34 (2022; Zbl 1511.68219) Full Text: DOI
Hu, Junying; Qian, Xiaofei; Pei, Jun; Tan, Changchun; Pardalos, Panos M.; Liu, Xinbao A novel quality prediction method based on feature selection considering high dimensional product quality data. (English) Zbl 1513.62257 J. Ind. Manag. Optim. 18, No. 4, 2977-3000 (2022). MSC: 62P30 68T20 PDFBibTeX XMLCite \textit{J. Hu} et al., J. Ind. Manag. Optim. 18, No. 4, 2977--3000 (2022; Zbl 1513.62257) Full Text: DOI
Bertsimas, Dimitris; Digalakis, Vassilis jun. The backbone method for ultra-high dimensional sparse machine learning. (English) Zbl 07570155 Mach. Learn. 111, No. 6, 2161-2212 (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{D. Bertsimas} and \textit{V. Digalakis jun.}, Mach. Learn. 111, No. 6, 2161--2212 (2022; Zbl 07570155) Full Text: DOI arXiv
Lee, In Gyu; Yoon, Sang Won; Won, Daehan A mixed integer linear programming support vector machine for cost-effective group feature selection: branch-cut-and-price approach. (English) Zbl 1495.60063 Eur. J. Oper. Res. 299, No. 3, 1055-1068 (2022). MSC: 60H30 68T05 90C11 90C57 PDFBibTeX XMLCite \textit{I. G. Lee} et al., Eur. J. Oper. Res. 299, No. 3, 1055--1068 (2022; Zbl 1495.60063) Full Text: DOI
Sewwandi, M. A. N. D.; Li, Yuefeng; Zhang, Jinglan Automated granule discovery in continuous data for feature selection. (English) Zbl 07779139 Inf. Sci. 578, 323-343 (2021). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{M. A. N. D. Sewwandi} et al., Inf. Sci. 578, 323--343 (2021; Zbl 07779139) Full Text: DOI
Bhadra, Tapas; Bandyopadhyay, Sanghamitra Supervised feature selection using integration of densest subgraph finding with floating forward-backward search. (English) Zbl 1527.68210 Inf. Sci. 566, 1-18 (2021). MSC: 68T10 68T05 PDFBibTeX XMLCite \textit{T. Bhadra} and \textit{S. Bandyopadhyay}, Inf. Sci. 566, 1--18 (2021; Zbl 1527.68210) Full Text: DOI
Tarkhaneh, Omid; Nguyen, Thanh Thi; Mazaheri, Samaneh A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm. (English) Zbl 1527.68194 Inf. Sci. 565, 278-305 (2021). MSC: 68T05 62H30 68T20 68W50 PDFBibTeX XMLCite \textit{O. Tarkhaneh} et al., Inf. Sci. 565, 278--305 (2021; Zbl 1527.68194) Full Text: DOI
Jain, Pankhuri; Tiwari, Anoop Kumar; Som, Tanmoy Enhanced prediction of anti-tubercular peptides from sequence information using divergence measure-based intuitionistic fuzzy-rough feature selection. (English) Zbl 1492.92036 Soft Comput. 25, No. 4, 3065-3086 (2021). MSC: 92C50 68T37 PDFBibTeX XMLCite \textit{P. Jain} et al., Soft Comput. 25, No. 4, 3065--3086 (2021; Zbl 1492.92036) Full Text: DOI
Dürrschnabel, Dominik; Koyda, Maren; Stumme, Gerd Attribute selection using contranominal scales. (English) Zbl 1495.68217 Braun, Tanya (ed.) et al., Graph-based representation and reasoning. 26th international conference on conceptual structures, ICCS 2021, virtual event, September 20–22, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12879, 127-141 (2021). MSC: 68T30 PDFBibTeX XMLCite \textit{D. Dürrschnabel} et al., Lect. Notes Comput. Sci. 12879, 127--141 (2021; Zbl 1495.68217) Full Text: DOI arXiv
Kusy, Maciej; Zajdel, Roman A weighted wrapper approach to feature selection. (English) Zbl 07490730 Int. J. Appl. Math. Comput. Sci. 31, No. 4, 685-696 (2021). MSC: 62Hxx 68Txx 94Axx PDFBibTeX XMLCite \textit{M. Kusy} and \textit{R. Zajdel}, Int. J. Appl. Math. Comput. Sci. 31, No. 4, 685--696 (2021; Zbl 07490730) Full Text: DOI
Aksakalli, Vural; Yenice, Zeren D.; Malekipirbazari, Milad; Kargar, Kamyar Feature selection using stochastic approximation with Barzilai and Borwein non-monotone gains. (English) Zbl 1511.68217 Comput. Oper. Res. 132, Article ID 105334, 14 p. (2021). MSC: 68T05 65K05 90C52 90C59 PDFBibTeX XMLCite \textit{V. Aksakalli} et al., Comput. Oper. Res. 132, Article ID 105334, 14 p. (2021; Zbl 1511.68217) Full Text: DOI
Chelly, Dagdia Zaineb; Zarges, Christine A detailed study of the distributed rough set based locality sensitive hashing feature selection technique. (English) Zbl 1522.68506 Fundam. Inform. 182, No. 2, 111-179 (2021). MSC: 68T09 68T37 PDFBibTeX XMLCite \textit{D. Z. Chelly} and \textit{C. Zarges}, Fundam. Inform. 182, No. 2, 111--179 (2021; Zbl 1522.68506) Full Text: DOI
Zheng, Ling; Chao, Fei; Parthaláin, Neil Mac; Zhang, Defu; Shen, Qiang Feature grouping and selection: a graph-based approach. (English) Zbl 1475.62201 Inf. Sci. 546, 1256-1272 (2021). MSC: 62H30 68R10 PDFBibTeX XMLCite \textit{L. Zheng} et al., Inf. Sci. 546, 1256--1272 (2021; Zbl 1475.62201) Full Text: DOI Link
Qasim, Omar Saber; Noori, Noor Muhammed A new hybrid algorithm based on binary gray wolf optimization and firefly algorithm for features selection. (English) Zbl 07435847 Asian-Eur. J. Math. 14, No. 10, Article ID 2150172, 10 p. (2021). MSC: 68U01 65D20 PDFBibTeX XMLCite \textit{O. S. Qasim} and \textit{N. M. Noori}, Asian-Eur. J. Math. 14, No. 10, Article ID 2150172, 10 p. (2021; Zbl 07435847) Full Text: DOI
Ibrahim, Rehab Ali; Abd Elaziz, Mohamed; Ewees, Ahmed A.; El-Abd, Mohammed; Lu, Songfeng New feature selection paradigm based on hyper-heuristic technique. (English) Zbl 1481.68035 Appl. Math. Modelling 98, 14-37 (2021). MSC: 68T05 90C59 PDFBibTeX XMLCite \textit{R. A. Ibrahim} et al., Appl. Math. Modelling 98, 14--37 (2021; Zbl 1481.68035) Full Text: DOI
Mehmanchi, Erfan; Gómez, Andrés; Prokopyev, Oleg A. Solving a class of feature selection problems via fractional 0–1 programming. (English) Zbl 1480.90239 Ann. Oper. Res. 303, No. 1-2, 265-295 (2021). MSC: 90C32 90C11 90C90 PDFBibTeX XMLCite \textit{E. Mehmanchi} et al., Ann. Oper. Res. 303, No. 1--2, 265--295 (2021; Zbl 1480.90239) Full Text: DOI
Campagner, Andrea; Ciucci, Davide; Hüllermeier, Eyke Rough set-based feature selection for weakly labeled data. (English) Zbl 1522.68447 Int. J. Approx. Reasoning 136, 150-167 (2021). MSC: 68T05 68T37 PDFBibTeX XMLCite \textit{A. Campagner} et al., Int. J. Approx. Reasoning 136, 150--167 (2021; Zbl 1522.68447) Full Text: DOI Link
Salem, Omar A. M.; Liu, Feng; Chen, Yi-Ping Phoebe; Chen, Xi Feature selection and threshold method based on fuzzy joint mutual information. (English) Zbl 1519.68222 Int. J. Approx. Reasoning 132, 107-126 (2021). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{O. A. M. Salem} et al., Int. J. Approx. Reasoning 132, 107--126 (2021; Zbl 1519.68222) Full Text: DOI
Jiang, Yugui; Luo, Qifang; Wei, Yuanfei; Abualigah, Laith; Zhou, Yongquan An efficient binary gradient-based optimizer for feature selection. (English) Zbl 1523.68060 Math. Biosci. Eng. 18, No. 4, 3813-3854 (2021). MSC: 68T05 68T20 90C59 PDFBibTeX XMLCite \textit{Y. Jiang} et al., Math. Biosci. Eng. 18, No. 4, 3813--3854 (2021; Zbl 1523.68060) Full Text: DOI
Salem, Omar A. M.; Liu, Feng; Sherif, Ahmed Sobhy; Zhang, Wen; Chen, Xi Feature selection based on fuzzy joint mutual information maximization. (English) Zbl 1472.94036 Math. Biosci. Eng. 18, No. 1, 305-327 (2021). MSC: 94A15 94A16 PDFBibTeX XMLCite \textit{O. A. M. Salem} et al., Math. Biosci. Eng. 18, No. 1, 305--327 (2021; Zbl 1472.94036) Full Text: DOI
Yan, Kedong; Miao, Dongjing; Guo, Cui; Huang, Chanying Efficient feature selection for logical analysis of large-scale multi-class datasets. (English) Zbl 1473.90147 J. Comb. Optim. 42, No. 1, 1-23 (2021). MSC: 90C27 90C90 PDFBibTeX XMLCite \textit{K. Yan} et al., J. Comb. Optim. 42, No. 1, 1--23 (2021; Zbl 1473.90147) Full Text: DOI
Kubkowski, Mariusz; Mielniczuk, Jan; Teisseyre, Paweł How to gain on power: novel conditional independence tests based on short expansion of conditional mutual information. (English) Zbl 07370579 J. Mach. Learn. Res. 22, Paper No. 62, 57 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Kubkowski} et al., J. Mach. Learn. Res. 22, Paper No. 62, 57 p. (2021; Zbl 07370579) Full Text: Link
Hijazi, Samah; Hamad, Denis; Kalakech, Mariam; Kalakech, Ali Active learning of constraints for weighted feature selection. (English) Zbl 07363877 Adv. Data Anal. Classif., ADAC 15, No. 2, 337-377 (2021). MSC: 15A18 65F15 62H30 68T10 47N10 PDFBibTeX XMLCite \textit{S. Hijazi} et al., Adv. Data Anal. Classif., ADAC 15, No. 2, 337--377 (2021; Zbl 07363877) Full Text: DOI
Ibrahim, Abdelmonem M.; Tawhid, Mohamed A. A new hybrid binary algorithm of bat algorithm and differential evolution for feature selection and classification. (English) Zbl 07310489 Dey, Nilanjan (ed.) et al., Applications of bat algorithm and its variants. Singapore: Springer. Springer Tracts Nat.-Inspir. Comput., 1-18 (2021). MSC: 68Wxx PDFBibTeX XMLCite \textit{A. M. Ibrahim} and \textit{M. A. Tawhid}, in: Applications of bat algorithm and its variants. Singapore: Springer. 1--18 (2021; Zbl 07310489) Full Text: DOI
Szmidt, Eulalia; Kacprzyk, Janusz; Bujnowski, Paweł Attribute selection via Hellwig’s algorithm for Atanassov’s intuitionistic fuzzy sets. (English) Zbl 1512.68291 Kóczy, László T. (ed.) et al., Computational intelligence and mathematics for tackling complex problems. Cham: Springer. Stud. Comput. Intell. 819, 81-90 (2020). MSC: 68T05 68T37 PDFBibTeX XMLCite \textit{E. Szmidt} et al., Stud. Comput. Intell. 819, 81--90 (2020; Zbl 1512.68291) Full Text: DOI
Zhao, Jie; Liang, Jia-ming; Dong, Zhen-ning; Tang, De-yu; Liu, Zhen NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory. (English) Zbl 1474.68293 Inf. Sci. 536, 431-453 (2020). MSC: 68T05 68T20 68T37 PDFBibTeX XMLCite \textit{J. Zhao} et al., Inf. Sci. 536, 431--453 (2020; Zbl 1474.68293) Full Text: DOI
Ni, Peng; Zhao, Suyun; Wang, Xizhao; Chen, Hong; Li, Cuiping; Tsang, Eric C. C. Incremental feature selection based on fuzzy rough sets. (English) Zbl 1474.68267 Inf. Sci. 536, 185-204 (2020). MSC: 68T05 68T37 PDFBibTeX XMLCite \textit{P. Ni} et al., Inf. Sci. 536, 185--204 (2020; Zbl 1474.68267) Full Text: DOI
Yang, Miin-Shen; Ali, Wajid Fuzzy Gaussian lasso clustering with application to cancer data. (English) Zbl 1470.92159 Math. Biosci. Eng. 17, No. 1, 250-265 (2020). MSC: 92C50 62P10 62H30 62H86 PDFBibTeX XMLCite \textit{M.-S. Yang} and \textit{W. Ali}, Math. Biosci. Eng. 17, No. 1, 250--265 (2020; Zbl 1470.92159) Full Text: DOI
Carmona, Pablo; Castro, Juan Luis FuzzyFeatureRank. Bringing order into fuzzy classifiers through fuzzy expressions. (English) Zbl 1464.68391 Fuzzy Sets Syst. 401, 78-90 (2020). MSC: 68T37 62H30 62H86 PDFBibTeX XMLCite \textit{P. Carmona} and \textit{J. L. Castro}, Fuzzy Sets Syst. 401, 78--90 (2020; Zbl 1464.68391) Full Text: DOI
Kamalov, Firuz Generalized feature similarity measure. (English) Zbl 1462.94021 Ann. Math. Artif. Intell. 88, No. 9, 987-1002 (2020). MSC: 94A17 94A15 68T05 PDFBibTeX XMLCite \textit{F. Kamalov}, Ann. Math. Artif. Intell. 88, No. 9, 987--1002 (2020; Zbl 1462.94021) Full Text: DOI
Thabtah, Fadi; Kamalov, Firuz; Hammoud, Suhel; Shahamiri, Seyed Reza Least loss: a simplified filter method for feature selection. (English) Zbl 1459.68177 Inf. Sci. 534, 1-15 (2020). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{F. Thabtah} et al., Inf. Sci. 534, 1--15 (2020; Zbl 1459.68177) Full Text: DOI
Elaziz, Mohamed Abd; Ewees, Ahmed A.; Ibrahim, Rehab Ali; Lu, Songfeng Opposition-based moth-flame optimization improved by differential evolution for feature selection. (English) Zbl 1510.90308 Math. Comput. Simul. 168, 48-75 (2020). MSC: 90C90 90C59 PDFBibTeX XMLCite \textit{M. A. Elaziz} et al., Math. Comput. Simul. 168, 48--75 (2020; Zbl 1510.90308) Full Text: DOI
Ibrahim, Abdelmonem M.; Tawhid, M. A.; Ward, Rabab K. A binary water wave optimization for feature selection. (English) Zbl 1433.68410 Int. J. Approx. Reasoning 120, 74-91 (2020). MSC: 68T20 68T05 PDFBibTeX XMLCite \textit{A. M. Ibrahim} et al., Int. J. Approx. Reasoning 120, 74--91 (2020; Zbl 1433.68410) Full Text: DOI
Liu, Heng; Ditzler, Gregory A semi-parallel framework for greedy information-theoretic feature selection. (English) Zbl 1451.68245 Inf. Sci. 492, 13-28 (2019). MSC: 68T09 PDFBibTeX XMLCite \textit{H. Liu} and \textit{G. Ditzler}, Inf. Sci. 492, 13--28 (2019; Zbl 1451.68245) Full Text: DOI
Zhai, Yanhui; Li, Deyu Knowledge structure preserving fuzzy attribute reduction in fuzzy formal context. (English) Zbl 1468.68229 Int. J. Approx. Reasoning 115, 209-220 (2019). MSC: 68T30 68T37 PDFBibTeX XMLCite \textit{Y. Zhai} and \textit{D. Li}, Int. J. Approx. Reasoning 115, 209--220 (2019; Zbl 1468.68229) Full Text: DOI
Ruggieri, Salvatore Complete search for feature selection in decision trees. (English) Zbl 1446.68141 J. Mach. Learn. Res. 20, Paper No. 104, 34 p. (2019). Reviewer: Yunwen Lei (Hong Kong) MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{S. Ruggieri}, J. Mach. Learn. Res. 20, Paper No. 104, 34 p. (2019; Zbl 1446.68141) Full Text: Link
Brankovic, Aida; Piroddi, Luigi A distributed feature selection scheme with partial information sharing. (English) Zbl 1442.68192 Mach. Learn. 108, No. 11, 2009-2034 (2019). MSC: 68T05 62H30 68T20 68W15 PDFBibTeX XMLCite \textit{A. Brankovic} and \textit{L. Piroddi}, Mach. Learn. 108, No. 11, 2009--2034 (2019; Zbl 1442.68192) Full Text: DOI
Armengol, Eva; Boixader, Dionís; García-Cerdaña, Àngel; Recasens, Jordi \(T\)-generable indistinguishability operators and their use for feature selection and classification. (English) Zbl 1423.68497 Fuzzy Sets Syst. 360, 33-48 (2019). MSC: 68T37 68T05 68T10 PDFBibTeX XMLCite \textit{E. Armengol} et al., Fuzzy Sets Syst. 360, 33--48 (2019; Zbl 1423.68497) Full Text: DOI
Borowik, Grzegorz Optimization on the complementation procedure towards efficient implementation of the index generation function. (English) Zbl 1451.68272 Int. J. Appl. Math. Comput. Sci. 28, No. 4, 803-815 (2019). MSC: 68T30 68P15 68T05 PDFBibTeX XMLCite \textit{G. Borowik}, Int. J. Appl. Math. Comput. Sci. 28, No. 4, 803--815 (2019; Zbl 1451.68272) Full Text: DOI
Susan, Seba; Hanmandlu, Madasu Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain. (English) Zbl 1411.94034 Multidimensional Syst. Signal Process. 30, No. 3, 1469-1488 (2019). MSC: 94A17 PDFBibTeX XMLCite \textit{S. Susan} and \textit{M. Hanmandlu}, Multidimensional Syst. Signal Process. 30, No. 3, 1469--1488 (2019; Zbl 1411.94034) Full Text: DOI
Labbé, Martine; Martínez-Merino, Luisa I.; Rodríguez-Chía, Antonio M. Mixed integer linear programming for feature selection in support vector machine. (English) Zbl 1420.90038 Discrete Appl. Math. 261, 276-304 (2019). MSC: 90C11 PDFBibTeX XMLCite \textit{M. Labbé} et al., Discrete Appl. Math. 261, 276--304 (2019; Zbl 1420.90038) Full Text: DOI arXiv
Benítez-Peña, S.; Blanquero, R.; Carrizosa, E.; Ramírez-Cobo, P. Cost-sensitive feature selection for support vector machines. (English) Zbl 1458.68158 Comput. Oper. Res. 106, 169-178 (2019). MSC: 68T05 62H30 90C90 PDFBibTeX XMLCite \textit{S. Benítez-Peña} et al., Comput. Oper. Res. 106, 169--178 (2019; Zbl 1458.68158) Full Text: DOI
Agor, Joseph; Özaltın, Osman Y. Feature selection for classification models via bilevel optimization. (English) Zbl 1458.90585 Comput. Oper. Res. 106, 156-168 (2019). MSC: 90C30 90C05 90C11 90C27 68T05 PDFBibTeX XMLCite \textit{J. Agor} and \textit{O. Y. Özaltın}, Comput. Oper. Res. 106, 156--168 (2019; Zbl 1458.90585) Full Text: DOI
Zhao, Hong; Yu, Shenglong Cost-sensitive feature selection via the \(\ell_{2,1}\)-norm. (English) Zbl 1452.68165 Int. J. Approx. Reasoning 104, 25-37 (2019). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{H. Zhao} and \textit{S. Yu}, Int. J. Approx. Reasoning 104, 25--37 (2019; Zbl 1452.68165) Full Text: DOI
Li, Zibo; Sun, Guangmin; He, Cunfu; Liu, Xiucheng; Zhang, Ruihuan; Li, Yu; Zhao, Dequn; Liu, Hao; Zhang, Fan Multi-variable regression methods using modified Chebyshev polynomials of class 2. (English) Zbl 1452.62487 J. Comput. Appl. Math. 346, 609-619 (2019). MSC: 62J02 62-08 PDFBibTeX XMLCite \textit{Z. Li} et al., J. Comput. Appl. Math. 346, 609--619 (2019; Zbl 1452.62487) Full Text: DOI
Hamedmoghadam, Homayoun; Jalili, Mahdi; Yu, Xinghuo An opinion formation based binary optimization approach for feature selection. (English) Zbl 1514.91121 Physica A 491, 142-152 (2018). MSC: 91D10 91D30 05C82 PDFBibTeX XMLCite \textit{H. Hamedmoghadam} et al., Physica A 491, 142--152 (2018; Zbl 1514.91121) Full Text: DOI
Lu, Yunmei; Yan, Mingyuan; Han, Meng; Yang, Qingliang; Zhang, Yanqing Privacy preserving feature selection and multiclass classification for horizontally distributed data. (English) Zbl 1486.68158 Math. Found. Comput. 1, No. 4, 331-348 (2018). MSC: 68T05 62H30 68P25 68P27 PDFBibTeX XMLCite \textit{Y. Lu} et al., Math. Found. Comput. 1, No. 4, 331--348 (2018; Zbl 1486.68158) Full Text: DOI
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I. Saturating splines and feature selection. (English) Zbl 1473.62248 J. Mach. Learn. Res. 18(2017-2018), Paper No. 197, 32 p. (2018). MSC: 62J07 46N10 65D07 PDFBibTeX XMLCite \textit{N. Boyd} et al., J. Mach. Learn. Res. 18, Paper No. 197, 32 p. (2018; Zbl 1473.62248) Full Text: arXiv Link
Şeref, Onur; Fan, Ya-Ju; Borenstein, Elan; Chaovalitwongse, Wanpracha A. Information-theoretic feature selection with discrete \(k\)-median clustering. (English) Zbl 1478.62176 Ann. Oper. Res. 263, No. 1-2, 93-118 (2018). MSC: 62H30 62-08 PDFBibTeX XMLCite \textit{O. Şeref} et al., Ann. Oper. Res. 263, No. 1--2, 93--118 (2018; Zbl 1478.62176) Full Text: DOI
Raza, Muhammad Summair; Qamar, Usman Feature selection using rough set-based direct dependency calculation by avoiding the positive region. (English) Zbl 1423.68512 Int. J. Approx. Reasoning 92, 175-197 (2018). MSC: 68T37 PDFBibTeX XMLCite \textit{M. S. Raza} and \textit{U. Qamar}, Int. J. Approx. Reasoning 92, 175--197 (2018; Zbl 1423.68512) Full Text: DOI
Ghaddar, Bissan; Naoum-Sawaya, Joe High dimensional data classification and feature selection using support vector machines. (English) Zbl 1381.62170 Eur. J. Oper. Res. 265, No. 3, 993-1004 (2018). MSC: 62H30 68T05 90C20 90C90 PDFBibTeX XMLCite \textit{B. Ghaddar} and \textit{J. Naoum-Sawaya}, Eur. J. Oper. Res. 265, No. 3, 993--1004 (2018; Zbl 1381.62170) Full Text: DOI
Panday, Deepak; Cordeiro de Amorim, Renato; Lane, Peter Feature weighting as a tool for unsupervised feature selection. (English) Zbl 1419.68080 Inf. Process. Lett. 129, 44-52 (2018). MSC: 68T05 PDFBibTeX XMLCite \textit{D. Panday} et al., Inf. Process. Lett. 129, 44--52 (2018; Zbl 1419.68080) Full Text: DOI Link
Luo, Yangxia Statistics and recognition for software birthmark based on clustering analysis. (English) Zbl 1516.62437 J. Appl. Stat. 44, No. 2, 308-324 (2017). MSC: 62-XX PDFBibTeX XMLCite \textit{Y. Luo}, J. Appl. Stat. 44, No. 2, 308--324 (2017; Zbl 1516.62437) Full Text: DOI
Taghizadeh, Gelareh; Musliu, Nysret A hybrid feature selection algorithm based on large neighborhood search. (English) Zbl 1453.68175 Hu, Bin (ed.) et al., Evolutionary computation in combinatorial optimization. 17th European conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19–21, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10197, 30-43 (2017). MSC: 68T20 68T05 PDFBibTeX XMLCite \textit{G. Taghizadeh} and \textit{N. Musliu}, Lect. Notes Comput. Sci. 10197, 30--43 (2017; Zbl 1453.68175) Full Text: DOI
Maldonado, Sebastián; Pérez, Juan; Bravo, Cristián Cost-based feature selection for support vector machines: an application in credit scoring. (English) Zbl 1403.90526 Eur. J. Oper. Res. 261, No. 2, 656-665 (2017). MSC: 90C11 68T05 91G40 91G80 PDFBibTeX XMLCite \textit{S. Maldonado} et al., Eur. J. Oper. Res. 261, No. 2, 656--665 (2017; Zbl 1403.90526) Full Text: DOI Link
Ding, A. Adam; Dy, Jennifer G.; Li, Yi; Chang, Yale A robust-equitable measure for feature ranking and selection. (English) Zbl 1440.62081 J. Mach. Learn. Res. 18(2017-2018), Paper No. 71, 46 p. (2017). MSC: 62F07 62F35 62H05 PDFBibTeX XMLCite \textit{A. A. Ding} et al., J. Mach. Learn. Res. 18, Paper No. 71, 46 p. (2017; Zbl 1440.62081) Full Text: Link
Saha, Arkajyoti; Das, Swagatam Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective. (English) Zbl 1460.62098 Mach. Learn. 106, No. 7, 951-992 (2017). MSC: 62H30 62H86 68T05 PDFBibTeX XMLCite \textit{A. Saha} and \textit{S. Das}, Mach. Learn. 106, No. 7, 951--992 (2017; Zbl 1460.62098) Full Text: DOI
Viola, Marco; Sangiovanni, Mara; Toraldo, Gerardo; Guarracino, Mario R. A generalized eigenvalues classifier with embedded feature selection. (English) Zbl 1407.68417 Optim. Lett. 11, No. 2, 299-311 (2017). MSC: 68T05 62H30 65F15 PDFBibTeX XMLCite \textit{M. Viola} et al., Optim. Lett. 11, No. 2, 299--311 (2017; Zbl 1407.68417) Full Text: DOI
Beer, Frank; Bühler, Ulrich In-database feature selection using rough set theory. (English) Zbl 1455.68048 Carvalho, Joao Paulo (ed.) et al., Information processing and management of uncertainty in knowledge-based systems. 16th international conference, IPMU 2016, Eindhoven, The Netherlands, June 20–24, 2016. Proceedings. Part II. Cham: Springer. Commun. Comput. Inf. Sci. 611, 393-407 (2016). MSC: 68P15 68T37 PDFBibTeX XMLCite \textit{F. Beer} and \textit{U. Bühler}, Commun. Comput. Inf. Sci. 611, 393--407 (2016; Zbl 1455.68048) Full Text: DOI
Soltanmohammadi, Erfan; Naraghi-Pour, Mort; van der Schaar, Mihaela Context-based unsupervised ensemble learning and feature ranking. (English) Zbl 1454.68133 Mach. Learn. 105, No. 3, 459-485 (2016). MSC: 68T05 62F07 PDFBibTeX XMLCite \textit{E. Soltanmohammadi} et al., Mach. Learn. 105, No. 3, 459--485 (2016; Zbl 1454.68133) Full Text: DOI
Xie, Juanying; Qu, Ya’nan; Wang, Mingzhao Unsupervised feature selection algorithms based on density peaks. (Chinese. English summary) Zbl 1374.68441 J. Nanjing Univ., Nat. Sci. 52, No. 4, 735-745 (2016). MSC: 68T05 62H30 68T10 PDFBibTeX XMLCite \textit{J. Xie} et al., J. Nanjing Univ., Nat. Sci. 52, No. 4, 735--745 (2016; Zbl 1374.68441) Full Text: DOI
de Amorim, Renato Cordeiro A survey on feature weighting based K-means algorithms. (English) Zbl 1349.62291 J. Classif. 33, No. 2, 210-242 (2016). MSC: 62H30 68T05 68T10 91C20 PDFBibTeX XMLCite \textit{R. C. de Amorim}, J. Classif. 33, No. 2, 210--242 (2016; Zbl 1349.62291) Full Text: DOI arXiv Link
Sato, Toshiki; Takano, Yuichi; Miyashiro, Ryuhei; Yoshise, Akiko Feature subset selection for logistic regression via mixed integer optimization. (English) Zbl 1352.90068 Comput. Optim. Appl. 64, No. 3, 865-880 (2016). MSC: 90C11 90C27 PDFBibTeX XMLCite \textit{T. Sato} et al., Comput. Optim. Appl. 64, No. 3, 865--880 (2016; Zbl 1352.90068) Full Text: DOI Link
Martínez, Ana M.; Webb, Geoffrey I.; Chen, Shenglei; Zaidi, Nayyar A. Scalable learning of Bayesian network classifiers. (English) Zbl 1360.68694 J. Mach. Learn. Res. 17, Paper No. 44, 35 p. (2016). MSC: 68T05 62F15 62H30 PDFBibTeX XMLCite \textit{A. M. Martínez} et al., J. Mach. Learn. Res. 17, Paper No. 44, 35 p. (2016; Zbl 1360.68694) Full Text: Link
Kpotufe, Samory; Boularias, Abdeslam; Schultz, Thomas; Kim, Kyoungok Gradients weights improve regression and classification. (English) Zbl 1360.62178 J. Mach. Learn. Res. 17, Paper No. 22, 34 p. (2016). MSC: 62G08 62H30 68T05 PDFBibTeX XMLCite \textit{S. Kpotufe} et al., J. Mach. Learn. Res. 17, Paper No. 22, 34 p. (2016; Zbl 1360.62178) Full Text: Link
Eskandari, S.; Javidi, M. M. Online streaming feature selection using rough sets. (English) Zbl 1344.68187 Int. J. Approx. Reasoning 69, 35-57 (2016). MSC: 68T05 68T37 PDFBibTeX XMLCite \textit{S. Eskandari} and \textit{M. M. Javidi}, Int. J. Approx. Reasoning 69, 35--57 (2016; Zbl 1344.68187) Full Text: DOI
Jiang, Sheng-yi; Wang, Lian-xi Efficient feature selection based on correlation measure between continuous and discrete features. (English) Zbl 1346.68158 Inf. Process. Lett. 116, No. 2, 203-215 (2016). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{S.-y. Jiang} and \textit{L.-x. Wang}, Inf. Process. Lett. 116, No. 2, 203--215 (2016; Zbl 1346.68158) Full Text: DOI
Jensen, Richard; Vluymans, Sarah; Parthaláin, Neil Mac; Cornelis, Chris; Saeys, Yvan Semi-supervised fuzzy-rough feature selection. (English) Zbl 1444.68157 Yao, Yiyu (ed.) et al., Rough sets, fuzzy sets, data mining, and granular computing. 15th international conference, RSFDGrC 2015, Tianjin, China, November 20–23, 2015. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 9437, 185-195 (2015). MSC: 68T05 68T37 PDFBibTeX XMLCite \textit{R. Jensen} et al., Lect. Notes Comput. Sci. 9437, 185--195 (2015; Zbl 1444.68157) Full Text: DOI Link
Jensen, Richard; Mac Parthaláin, Neil Towards scalable fuzzy-rough feature selection. (English) Zbl 1390.68534 Inf. Sci. 323, 1-15 (2015). MSC: 68T05 PDFBibTeX XMLCite \textit{R. Jensen} and \textit{N. Mac Parthaláin}, Inf. Sci. 323, 1--15 (2015; Zbl 1390.68534) Full Text: DOI
Hedjazi, Lyamine; Aguilar-Martin, Joseph; Le Lann, Marie-Véronique; Kempowsky-Hamon, Tatiana Membership-margin based feature selection for mixed type and high-dimensional data: theory and applications. (English) Zbl 1390.68531 Inf. Sci. 322, 174-196 (2015). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{L. Hedjazi} et al., Inf. Sci. 322, 174--196 (2015; Zbl 1390.68531) Full Text: DOI
Maldonado, Sebastián; Carrizosa, Emilio; Weber, Richard Kernel penalized K-means: a feature selection method based on kernel K-means. (English) Zbl 1390.68545 Inf. Sci. 322, 150-160 (2015). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{S. Maldonado} et al., Inf. Sci. 322, 150--160 (2015; Zbl 1390.68545) Full Text: DOI Link
Wang, Zhichun; Li, Minqiang; Li, Juanzi A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure. (English) Zbl 1387.68200 Inf. Sci. 307, 73-88 (2015). MSC: 68T05 68T20 PDFBibTeX XMLCite \textit{Z. Wang} et al., Inf. Sci. 307, 73--88 (2015; Zbl 1387.68200) Full Text: DOI
Jiang, Feng; Sui, Yuefei; Zhou, Lin A relative decision entropy-based feature selection approach. (English) Zbl 1374.68391 Pattern Recognition 48, No. 7, 2151-2163 (2015). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Jiang} et al., Pattern Recognition 48, No. 7, 2151--2163 (2015; Zbl 1374.68391) Full Text: DOI
Sun, Youqiang; Li, Jiuyong; Liu, Jixue; Chow, Christopher; Sun, Bingyu; Wang, Rujing Using causal discovery for feature selection in multivariate numerical time series. (English) Zbl 1343.68206 Mach. Learn. 101, No. 1-3, 377-395 (2015). MSC: 68T05 62M10 PDFBibTeX XMLCite \textit{Y. Sun} et al., Mach. Learn. 101, No. 1--3, 377--395 (2015; Zbl 1343.68206) Full Text: DOI
Elghazel, Haytham; Aussem, Alex Unsupervised feature selection with ensemble learning. (English) Zbl 1321.68402 Mach. Learn. 98, No. 1-2, 157-180 (2015). MSC: 68T05 PDFBibTeX XMLCite \textit{H. Elghazel} and \textit{A. Aussem}, Mach. Learn. 98, No. 1--2, 157--180 (2015; Zbl 1321.68402) Full Text: DOI
Liu, Zhiliang; Zhao, Xiaomin; Zuo, Ming J.; Xu, Hongbing Feature selection for fault level diagnosis of planetary gearboxes. (English) Zbl 1414.93126 Adv. Data Anal. Classif., ADAC 8, No. 4, 377-401 (2014). MSC: 93C85 68T10 62H30 PDFBibTeX XMLCite \textit{Z. Liu} et al., Adv. Data Anal. Classif., ADAC 8, No. 4, 377--401 (2014; Zbl 1414.93126) Full Text: DOI
Frénay, Benoît; Doquire, Gauthier; Verleysen, Michel Estimating mutual information for feature selection in the presence of label noise. (English) Zbl 1471.62064 Comput. Stat. Data Anal. 71, 832-848 (2014). MSC: 62-08 62H30 68T05 PDFBibTeX XMLCite \textit{B. Frénay} et al., Comput. Stat. Data Anal. 71, 832--848 (2014; Zbl 1471.62064) Full Text: DOI
Dernoncourt, David; Hanczar, Blaise; Zucker, Jean-Daniel Analysis of feature selection stability on high dimension and small sample data. (English) Zbl 1471.62050 Comput. Stat. Data Anal. 71, 681-693 (2014). MSC: 62-08 62H30 PDFBibTeX XMLCite \textit{D. Dernoncourt} et al., Comput. Stat. Data Anal. 71, 681--693 (2014; Zbl 1471.62050) Full Text: DOI
Maldonado, Sebastián; Pérez, Juan; Weber, Richard; Labbé, Martine Feature selection for support vector machines via mixed integer linear programming. (English) Zbl 1354.68226 Inf. Sci. 279, 163-175 (2014). MSC: 68T05 62H30 90C11 PDFBibTeX XMLCite \textit{S. Maldonado} et al., Inf. Sci. 279, 163--175 (2014; Zbl 1354.68226) Full Text: DOI Link
Kersten, Jens Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems. (English) Zbl 1339.68223 Pattern Recognition 47, No. 8, 2582-2595 (2014). MSC: 68T05 62H12 62H30 PDFBibTeX XMLCite \textit{J. Kersten}, Pattern Recognition 47, No. 8, 2582--2595 (2014; Zbl 1339.68223) Full Text: DOI
Tayal, Aditya; Coleman, Thomas F.; Li, Yuying Primal explicit max margin feature selection for nonlinear support vector machines. (English) Zbl 1339.68231 Pattern Recognition 47, No. 6, 2153-2164 (2014). MSC: 68T05 90C26 PDFBibTeX XMLCite \textit{A. Tayal} et al., Pattern Recognition 47, No. 6, 2153--2164 (2014; Zbl 1339.68231) Full Text: DOI
Le Thi, Hoai An; Vo, Xuan Thanh; Pham Dinh, Tao Feature selection for linear SVMs under uncertain data: robust optimization based on difference of convex functions algorithms. (English) Zbl 1327.90236 Neural Netw. 59, 36-50 (2014). MSC: 90C26 68T05 PDFBibTeX XMLCite \textit{H. A. Le Thi} et al., Neural Netw. 59, 36--50 (2014; Zbl 1327.90236) Full Text: DOI
Wang, Hongwei; Li, Guohe A method of feature selection for continuous features based on attribute similarity. (Chinese. English summary) Zbl 1340.68115 J. Bohai Univ., Nat. Sci. 35, No. 4, 350-355 (2014). MSC: 68T10 PDFBibTeX XMLCite \textit{H. Wang} and \textit{G. Li}, J. Bohai Univ., Nat. Sci. 35, No. 4, 350--355 (2014; Zbl 1340.68115)
Jensen, Richard; Tuson, Andrew; Shen, Qiang Finding rough and fuzzy-rough set reducts with SAT. (English) Zbl 1320.68189 Inf. Sci. 255, 100-120 (2014). MSC: 68T37 PDFBibTeX XMLCite \textit{R. Jensen} et al., Inf. Sci. 255, 100--120 (2014; Zbl 1320.68189) Full Text: DOI Link
Min, Fan; Hu, Qinghua; Zhu, William Feature selection with test cost constraint. (English) Zbl 1316.68117 Int. J. Approx. Reasoning 55, No. 1, Part 2, 167-179 (2014). MSC: 68T05 68T20 PDFBibTeX XMLCite \textit{F. Min} et al., Int. J. Approx. Reasoning 55, No. 1, Part 2, 167--179 (2014; Zbl 1316.68117) Full Text: DOI arXiv
Yin, Hua; Hu, Yuping An imbalanced feature selection algorithm based on random forest. (Chinese. English summary) Zbl 1324.68127 Acta Sci. Nat. Univ. Sunyatseni 53, No. 5, 59-65 (2014). MSC: 68T05 PDFBibTeX XMLCite \textit{H. Yin} and \textit{Y. Hu}, Acta Sci. Nat. Univ. Sunyatseni 53, No. 5, 59--65 (2014; Zbl 1324.68127)
Bridge, James P.; Holden, Sean B.; Paulson, Lawrence C. Machine learning for first-order theorem proving. Learning to select good heuristic. (English) Zbl 1314.68274 J. Autom. Reasoning 53, No. 2, 141-172 (2014). MSC: 68T15 68T05 68T20 PDFBibTeX XMLCite \textit{J. P. Bridge} et al., J. Autom. Reasoning 53, No. 2, 141--172 (2014; Zbl 1314.68274) Full Text: DOI
Bielza, Concha; Larrañaga, Pedro Discrete Bayesian network classifiers: a survey. (English) Zbl 1322.68147 ACM Comput. Surv. 47, No. 1, Paper No. 5, 43 p. (2014). MSC: 68T05 68T37 68-02 PDFBibTeX XMLCite \textit{C. Bielza} and \textit{P. Larrañaga}, ACM Comput. Surv. 47, No. 1, Paper No. 5, 43 p. (2014; Zbl 1322.68147) Full Text: DOI
Ounsrimuang, Pimolrat; Boonjing, Veera The proposed algorithm for feature selection based on rough set and mutual information. (English) Zbl 1320.68143 Far East J. Math. Sci. (FJMS) 88, No. 2, 199-216 (2014). MSC: 68T05 PDFBibTeX XMLCite \textit{P. Ounsrimuang} and \textit{V. Boonjing}, Far East J. Math. Sci. (FJMS) 88, No. 2, 199--216 (2014; Zbl 1320.68143) Full Text: Link
Guan, Wei; Gray, Alexander Sparse high-dimensional fractional-norm support vector machine via DC programming. (English) Zbl 1471.62080 Comput. Stat. Data Anal. 67, 136-148 (2013). MSC: 62-08 68T05 90C26 PDFBibTeX XMLCite \textit{W. Guan} and \textit{A. Gray}, Comput. Stat. Data Anal. 67, 136--148 (2013; Zbl 1471.62080) Full Text: DOI