References in zbMATH (referenced in 628 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. Hu, Qinqin; Lin, Lu: Conditional sure independence screening by conditional marginal empirical likelihood (2017)
  5. Käärik, Meelis; Kangro, Raul; Muru, Liina: On estimation of insurance risk parameters by combining local regression and distribution fitting ideas (2017)
  6. Karasuyama, Masayuki; Mamitsuka, Hiroshi: Adaptive edge weighting for graph-based learning algorithms (2017)
  7. Kel’manov, A.V.; Khamidullin, S.A.; Khandeev, V.I.: Exact pseudopolynomial algorithm for one sequence partitioning problem (2017)
  8. Kotłowski, Wojciech; Dembczyński, Krzysztof: Surrogate regret bounds for generalized classification performance metrics (2017)
  9. Lepik, Natalja; Traat, Imbi: Downward calibration property of estimated response propensities (2017)
  10. 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)
  11. Shin, Yeonjong; Xiu, Dongbin: A randomized algorithm for multivariate function approximation (2017)
  12. Wang, Shan-shan; Cui, Heng-jian: Partial penalized empirical likelihood ratio test under sparse case (2017)
  13. Wang, Tao; Wen, Xuerong Meggie; Zhu, Lixing: Multiple-population shrinkage estimation via sliced inverse regression (2017)
  14. Adhikari, Prem Raj; Vavpetič, Anže; Kralj, Jan; Lavrač, Nada; Hollmén, Jaakko: Explaining mixture models through semantic pattern mining and banded matrix visualization (2016)
  15. Adragni, Kofi P.; Al-Najjar, Elias; Martin, Sean; Popuri, Sai K.; Raim, Andrew M.: Group-wise sufficient dimension reduction with principal fitted components (2016)
  16. Alabdulmohsin, Ibrahim; Cisse, Moustapha; Gao, Xin; Zhang, Xiangliang: Large margin classification with indefinite similarities (2016)
  17. Ambach, Daniel; Croonenbroeck, Carsten: Space-time short- to medium-term wind speed forecasting (2016)
  18. Aydogan, Ilke; Bleichrodt, Han; Gao, Yu: An experimental test of reduction invariance (2016)
  19. Barreto, André M.S.; Precup, Doina; Pineau, Joelle: Practical kernel-based reinforcement learning (2016)
  20. Benaych-Georges, Florent; Couillet, Romain: Spectral analysis of the Gram matrix of mixture models (2016)

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