Works matching IS 08856125 AND DT 2022 AND VI 111 AND IP 5
Results: 12
MAGMA: inference and prediction using multi-task Gaussian processes with common mean.
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- Machine Learning, 2022, v. 111, n. 5, p. 1821, doi. 10.1007/s10994-022-06172-1
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Scrutinizing XAI using linear ground-truth data with suppressor variables.
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- Machine Learning, 2022, v. 111, n. 5, p. 1903, doi. 10.1007/s10994-022-06167-y
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Partitioned hybrid learning of Bayesian network structures.
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- Machine Learning, 2022, v. 111, n. 5, p. 1695, doi. 10.1007/s10994-022-06145-4
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Semi-supervised Latent Block Model with pairwise constraints.
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- Machine Learning, 2022, v. 111, n. 5, p. 1739, doi. 10.1007/s10994-022-06137-4
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Semi-Lipschitz functions and machine learning for discrete dynamical systems on graphs.
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- Machine Learning, 2022, v. 111, n. 5, p. 1765, doi. 10.1007/s10994-022-06130-x
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Order preserving hierarchical agglomerative clustering.
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- Machine Learning, 2022, v. 111, n. 5, p. 1851, doi. 10.1007/s10994-021-06125-0
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Nested aggregation of experts using inducing points for approximated Gaussian process regression.
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- Machine Learning, 2022, v. 111, n. 5, p. 1671, doi. 10.1007/s10994-021-06101-8
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One-Stage Tree: end-to-end tree builder and pruner.
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- Machine Learning, 2022, v. 111, n. 5, p. 1959, doi. 10.1007/s10994-021-06094-4
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Robust linear classification from limited training data.
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- Machine Learning, 2022, v. 111, n. 5, p. 1621, doi. 10.1007/s10994-021-06093-5
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- Article
Optimal transport for conditional domain matching and label shift.
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- Machine Learning, 2022, v. 111, n. 5, p. 1651, doi. 10.1007/s10994-021-06088-2
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Generating contrastive explanations for inductive logic programming based on a near miss approach.
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- Machine Learning, 2022, v. 111, n. 5, p. 1799, doi. 10.1007/s10994-021-06048-w
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Embedding and extraction of knowledge in tree ensemble classifiers.
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- Machine Learning, 2022, v. 111, n. 5, p. 1925, doi. 10.1007/s10994-021-06068-6
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- Article