Erratum: Sgdqn is less careful than expected von Bordes, Antoine, Bottou, Léon, Gallinari, Patrick, Chang, J., Smith, S.A.

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Una rivista ad accesso aperto, senza costi per gli autori e di alta qualità: la storia del "Journal of Machine Learning Research". [Video] von De Nicolao, Giuseppe

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Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009, arXiv:0803.3490) von Forghani, Yahya, Yazdi, Hadi Sadoghi

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Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009, arXiv:0803.3490) von ghani, Yahya, Hadi Sadoghi Yazdi

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SPARC Collaborates with Comp Sci Journal.(Journal of Machine Learning Research)(Brief Article)

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Machine learning's editorial board divided von Peek, Robin

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A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE) von Su, Miao, Peng, Hui, Li, Shaofan

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Unsupervised feature selection with ensemble learning von Elghazel, Haytham, Aussem, Alex

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AdaBoost with SVM-based component classifiers von Li, Xuchun, Wang, Lei, Sung, Eric

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Signature-based validation of real-world economic scenarios von Andrès, Hervé, Boumezoued, Alexandre, Jourdain, Benjamin

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A blockwise network autoregressive model with application for fraud detection von Xiao, Bofei, Lei, Bo, Lan, Wei, Guo, Bin

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Optimality of singular vector perturbation under maximum norm von Liu, Youming, Qi, Xinyu

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Kernel Operations on the GPU, with Autodiff, without Memory Overflows von Charlier, Benjamin, Feydy, Jean, Glaunes, Joan Alexis, Collin, Francois-David, Durif, Ghislain

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Error Prediction of Air Quality at Monitoring Stations Using Random Forest in a Total Error Framework von Lepioufle, Jean-Marie, Marsteen, Leif, Johnsrud, Mona

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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) von Mondal, Washim Uddin, Agarwal, Mridul, Aggarwal, Vaneet, Ukkusuri, Satish V

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Fast Online Changepoint Detection via Functional Pruning CUSUM statistics von Romano, Gaetano, Eckley, Idris, Fearnhead, Paul, Rigaill, Guillem

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Some Theoretical Insights into Wasserstein GANs von Biau, Gerard, Sangnier, Maxime, Tanielian, Ugo

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A Continuous-time Stochastic Gradient Descent Method for Continuous Data von Jin, Kexin, Latz, Jonas, Liu, Chenguang, Schönlieb, Carola-Bibiane

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer von Raffel, Colin, Shazeer, Noam, Roberts, Adam, Lee, Katherine, Narang, Sharan, Matena, Michael, Zhou, Yanqi, Li, Wei, Liu, Peter J.

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Belief update in CLG Bayesian networks with lazy propagation von Madsen, A.L.

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