References in zbMATH (referenced in 618 articles , 2 standard articles )

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  1. Chintala, Soumith; Ranzato, Marc’Aurelio; Szlam, Arthur; Tian, Yuandong; Tygert, Mark; Zaremba, Wojciech: Scale-invariant learning and convolutional networks (2017)
  2. Freund, Robert M.; Grigas, Paul; Mazumder, Rahul: An extended Frank-Wolfe method with “in-face” directions, and its application to low-rank matrix completion (2017)
  3. Geppert, Leo N.; Ickstadt, Katja; Munteanu, Alexander; Quedenfeld, Jens; Sohler, Christian: Random projections for Bayesian regression (2017)
  4. Salazar, Fernando; Morán, Rafael; Toledo, Miguel Á.; Oñate, Eugenio: Data-based models for the prediction of dam behaviour: a review and some methodological considerations (2017)
  5. Wang, Tao; Wen, Xuerong Meggie; Zhu, Lixing: Multiple-population shrinkage estimation via sliced inverse regression (2017)
  6. Adhikari, Prem Raj; Vavpetič, Anže; Kralj, Jan; Lavrač, Nada; Hollmén, Jaakko: Explaining mixture models through semantic pattern mining and banded matrix visualization (2016)
  7. Adragni, Kofi P.; Al-Najjar, Elias; Martin, Sean; Popuri, Sai K.; Raim, Andrew M.: Group-wise sufficient dimension reduction with principal fitted components (2016)
  8. Alabdulmohsin, Ibrahim; Cisse, Moustapha; Gao, Xin; Zhang, Xiangliang: Large margin classification with indefinite similarities (2016)
  9. Ambach, Daniel; Croonenbroeck, Carsten: Space-time short- to medium-term wind speed forecasting (2016)
  10. Aydogan, Ilke; Bleichrodt, Han; Gao, Yu: An experimental test of reduction invariance (2016)
  11. Barreto, André M.S.; Precup, Doina; Pineau, Joelle: Practical kernel-based reinforcement learning (2016)
  12. Benaych-Georges, Florent; Couillet, Romain: Spectral analysis of the Gram matrix of mixture models (2016)
  13. Bertolazzi, P.; Felici, G.; Festa, P.; Fiscon, G.; Weitschek, E.: Integer programming models for feature selection: new extensions and a randomized solution algorithm (2016)
  14. Bischl, Bernd; Kerschke, Pascal; Kotthoff, Lars; Lindauer, Marius; Malitsky, Yuri; Fréchette, Alexandre; Hoos, Holger; Hutter, Frank; Leyton-Brown, Kevin; Tierney, Kevin; Vanschoren, Joaquin: ASlib: a benchmark library for algorithm selection (2016)
  15. Blaser, Rico; Fryzlewicz, Piotr: Random rotation ensembles (2016)
  16. Boj, Eva; Caballé, Adrià; Delicado, Pedro; Esteve, Anna; Fortiana, Josep: Global and local distance-based generalized linear models (2016)
  17. Daubechies, Ingrid; Defrise, Michel; De Mol, Christine: Sparsity-enforcing regularisation and ISTA revisited (2016)
  18. Dinwoodie, Ian H.: Computational methods for asynchronous basins (2016)
  19. Dutta, Subhajit; Ghosh, Anil K.: On some transformations of high dimension, low sample size data for nearest neighbor classification (2016)
  20. Engel, Joachim: Functions, data and models: connecting central topics of the mathematics curriculum (2016) MathEduc

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