References in zbMATH (referenced in 990 articles )

Showing results 1 to 20 of 990.
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  1. Wang, Di; Zhang, Zuoquan; Bai, Rongquan; Mao, Yanan: A hybrid system with filter approach and multiple population genetic algorithm for feature selection in credit scoring (2018)
  2. Abellán, Joaquín; Castellano, Javier G.; Mantas, Carlos J.: A new robust classifier on noise domains: bagging of Credal C4.5 trees (2017)
  3. Ansótegui, Carlos; Bonet, Maria Luisa; Giráldez-Cru, Jesús; Levy, Jordi: Structure features for SAT instances classification (2017)
  4. Bagarello, Fabio; Cinà, Marco; Gargano, Francesco: Projector operators in clustering (2017)
  5. Bertsimas, Dimitris; Dunn, Jack: Optimal classification trees (2017)
  6. Chou, Chun-An; Bonates, Tibérius O.; Lee, Chungmok; Chaovalitwongse, Wanpracha Art: Multi-pattern generation framework for logical analysis of data (2017)
  7. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  8. Dehzangi, Abdollah; López, Yosvany; Lal, Sunil Pranit; Taherzadeh, Ghazaleh; Michaelson, Jacob; Sattar, Abdul; Tsunoda, Tatsuhiko; Sharma, Alok: PSSM-Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction (2017)
  9. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017)
  10. Lombardi, Michele; Milano, Michela; Bartolini, Andrea: Empirical decision model learning (2017)
  11. Magnan, Jean-Christophe; Wuillemin, Pierre-Henri: Efficient incremental planning and learning with multi-valued decision diagrams (2017)
  12. Marjolein Fokkema: pre: An R Package for Fitting Prediction Rule Ensembles (2017) arXiv
  13. Nápoles, Gonzalo; Falcon, Rafael; Papageorgiou, Elpiniki; Bello, Rafael; Vanhoof, Koen: Rough cognitive ensembles (2017)
  14. Nguyen, Trung Thanh; Silander, Tomi; Li, Zhuoru; Leong, Tze-Yun: Scalable transfer learning in heterogeneous, dynamic environments (2017)
  15. Ni, Lyu; Fang, Fang; Wan, Fangjiao: Adjusted Pearson Chi-Square feature screening for multi-classification with ultrahigh dimensional data (2017)
  16. Picek, Stjepan; Heuser, Annelie; Jovic, Alan; Legay, Axel: Climbing down the hierarchy: hierarchical classification for machine learning side-channel attacks (2017)
  17. 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
  18. Ramirez-Amaro, Karinne; Beetz, Michael; Cheng, Gordon: Transferring skills to humanoid robots by extracting semantic representations from observations of human activities (2017)
  19. Sasikala, S.; Appavu alias Balamurugan, S.; Geetha, S.: A novel adaptive feature selector for supervised classification (2017)
  20. Shakerin, Farhad; Salazar, Elmer; Gupta, Gopal: A new algorithm to automate inductive learning of default theories (2017)

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