Works matching IS 08856125 AND DT 2023 AND VI 112 AND IP 7
Results: 15
Robust matrix estimations meet Frank–Wolfe algorithm.
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- Machine Learning, 2023, v. 112, n. 7, p. 2723, doi. 10.1007/s10994-023-06325-w
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Domain adversarial neural networks for domain generalization: when it works and how to improve.
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- Machine Learning, 2023, v. 112, n. 7, p. 2685, doi. 10.1007/s10994-023-06324-x
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SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting.
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- Machine Learning, 2023, v. 112, n. 7, p. 2555, doi. 10.1007/s10994-023-06316-x
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Inverse reinforcement learning through logic constraint inference.
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- Machine Learning, 2023, v. 112, n. 7, p. 2593, doi. 10.1007/s10994-023-06311-2
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On the Discrepancy between Kleinberg's Clustering Axioms and k-Means Clustering Algorithm Behavior.
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- Machine Learning, 2023, v. 112, n. 7, p. 2501, doi. 10.1007/s10994-023-06308-x
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Reducing classifier overconfidence against adversaries through graph algorithms.
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- Machine Learning, 2023, v. 112, n. 7, p. 2619, doi. 10.1007/s10994-023-06307-y
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Diverse and consistent multi-view networks for semi-supervised regression.
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- Machine Learning, 2023, v. 112, n. 7, p. 2359, doi. 10.1007/s10994-023-06305-0
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Pruning during training by network efficacy modeling.
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- Machine Learning, 2023, v. 112, n. 7, p. 2653, doi. 10.1007/s10994-023-06304-1
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On the sample complexity of actor-critic method for reinforcement learning with function approximation.
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- Machine Learning, 2023, v. 112, n. 7, p. 2433, doi. 10.1007/s10994-023-06303-2
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- Article
Learning to increase the power of conditional randomization tests.
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- Machine Learning, 2023, v. 112, n. 7, p. 2317, doi. 10.1007/s10994-023-06302-3
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Autoencoding slow representations for semi-supervised data-efficient regression.
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- Machine Learning, 2023, v. 112, n. 7, p. 2297, doi. 10.1007/s10994-022-06299-1
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Unsupervised discretization by two-dimensional MDL-based histogram.
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- Machine Learning, 2023, v. 112, n. 7, p. 2397, doi. 10.1007/s10994-022-06294-6
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Inverse learning in Hilbert scales.
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- Machine Learning, 2023, v. 112, n. 7, p. 2469, doi. 10.1007/s10994-022-06284-8
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Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations.
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- Machine Learning, 2023, v. 112, n. 7, p. 2263, doi. 10.1007/s10994-022-06273-x
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- Article
Information bottleneck and selective noise supervision for zero-shot learning.
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- Machine Learning, 2023, v. 112, n. 7, p. 2239, doi. 10.1007/s10994-022-06196-7
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- Article