References in zbMATH (referenced in 895 articles )

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  1. Chou, Chun-An; Bonates, Tibérius O.; Lee, Chungmok; Chaovalitwongse, Wanpracha Art: Multi-pattern generation framework for logical analysis of data (2017)
  2. Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Angel Gonzalez Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl: The MATLAB Toolbox SciXMiner: User’s Manual and Programmer’s Guide (2017) arXiv
  3. Sasikala, S.; Appavu alias Balamurugan, S.; Geetha, S.: A novel adaptive feature selector for supervised classification (2017)
  4. Bertolazzi, P.; Felici, G.; Festa, P.; Fiscon, G.; Weitschek, E.: Integer programming models for feature selection: new extensions and a randomized solution algorithm (2016)
  5. Eskandari, S.; Javidi, M.M.: Online streaming feature selection using rough sets (2016)
  6. Fernández, Alberto; Elkano, Mikel; Galar, Mikel; Sanz, José Antonio; Alshomrani, Saleh; Bustince, Humberto; Herrera, Francisco: Enhancing evolutionary fuzzy systems for multi-class problems: distance-based relative competence weighting with truncated confidences (DRCW-TC) (2016)
  7. Jantzen, Benjamin C.: Discovery without a `logic’ would be a miracle (2016)
  8. Jessup, Elizabeth; Motter, Pate; Norris, Boyana; Sood, Kanika: Performance-based numerical solver selection in the Lighthouse framework (2016)
  9. Jiang, Sheng-yi; Wang, Lian-xi: Efficient feature selection based on correlation measure between continuous and discrete features (2016)
  10. Kowaliw, Taras; Doursat, René: Bias-variance decomposition in genetic programming (2016)
  11. Kumar, G.Kishor; Viswanath, P.; Rao, A.Ananda: Ensemble of randomized soft decision trees for robust classification (2016)
  12. Manukyan, Artür; Ceyhan, Elvan: Classification of imbalanced data with a geometric digraph family (2016)
  13. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  14. Souillard-Mandar, William; Davis, Randall; Rudin, Cynthia; Au, Rhoda; Libon, David J.; Swenson, Rodney; Price, Catherine C.; Lamar, Melissa; Penney, Dana L.: Learning classification models of cognitive conditions from subtle behaviors in the digital clock drawing test (2016)
  15. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  16. Ustun, Berk; Rudin, Cynthia: Supersparse linear integer models for optimized medical scoring systems (2016)
  17. Abulaish, Muhammad; Bhat, Sajid Y.: Classifier ensembles using structural features for spammer detection in online social networks (2015) ioport
  18. Axelson-Fisk, Marina: Comparative gene finding. Models, algorithms and implementation (2015)
  19. Blockeel, Hendrik: Data mining: from procedural to declarative approaches (2015) ioport
  20. Chelly, Zeineb; Elouedi, Zied: Hybridization schemes of the fuzzy dendritic cell immune binary classifier based on different fuzzy clustering techniques (2015) ioport

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