Works matching IS 08856125 AND DT 2021 AND VI 110 AND IP 8
Results: 12
Convex optimization with an interpolation-based projection and its application to deep learning.
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- Machine Learning, 2021, v. 110, n. 8, p. 2267, doi. 10.1007/s10994-021-06037-z
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Sampled Gromov Wasserstein.
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- Machine Learning, 2021, v. 110, n. 8, p. 2151, doi. 10.1007/s10994-021-06035-1
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Information-theoretic regularization for learning global features by sequential VAE.
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- Machine Learning, 2021, v. 110, n. 8, p. 2239, doi. 10.1007/s10994-021-06032-4
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Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting.
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- Machine Learning, 2021, v. 110, n. 8, p. 2213, doi. 10.1007/s10994-021-06031-5
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Testing conditional independence in supervised learning algorithms.
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- Machine Learning, 2021, v. 110, n. 8, p. 2107, doi. 10.1007/s10994-021-06030-6
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Variational learning from implicit bandit feedback.
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- Machine Learning, 2021, v. 110, n. 8, p. 2085, doi. 10.1007/s10994-021-06028-0
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On testing transitivity in online preference learning.
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- Machine Learning, 2021, v. 110, n. 8, p. 2063, doi. 10.1007/s10994-021-06026-2
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AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow.
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- Machine Learning, 2021, v. 110, n. 8, p. 2131, doi. 10.1007/s10994-021-06025-3
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Density-based weighting for imbalanced regression.
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- Machine Learning, 2021, v. 110, n. 8, p. 2187, doi. 10.1007/s10994-021-06023-5
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TRU-NET: a deep learning approach to high resolution prediction of rainfall.
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- Machine Learning, 2021, v. 110, n. 8, p. 2035, doi. 10.1007/s10994-021-06022-6
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An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations.
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- Machine Learning, 2021, v. 110, n. 8, p. 1975, doi. 10.1007/s10994-021-06021-7
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Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.
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- Machine Learning, 2021, v. 110, n. 8, p. 2005, doi. 10.1007/s10994-021-05980-1
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- Article