Works matching IS 08856125 AND DT 2024 AND VI 113 AND IP 2
Results: 14
Active learning algorithm through the lens of rejection arguments.
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- Machine Learning, 2024, v. 113, n. 2, p. 753, doi. 10.1007/s10994-023-06494-8
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Markov chain importance sampling for minibatches.
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- Machine Learning, 2024, v. 113, n. 2, p. 789, doi. 10.1007/s10994-023-06489-5
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logicDT: a procedure for identifying response-associated interactions between binary predictors.
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- Machine Learning, 2024, v. 113, n. 2, p. 933, doi. 10.1007/s10994-023-06488-6
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Deep doubly robust outcome weighted learning.
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- Machine Learning, 2024, v. 113, n. 2, p. 815, doi. 10.1007/s10994-023-06484-w
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Meta-classifier free negative sampling for extreme multilabel classification.
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- Machine Learning, 2024, v. 113, n. 2, p. 675, doi. 10.1007/s10994-023-06468-w
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Optimizing model-agnostic random subspace ensembles.
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- Machine Learning, 2024, v. 113, n. 2, p. 993, doi. 10.1007/s10994-023-06427-5
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Heterogeneous multi-task feature learning with mixed ℓ2,1 regularization.
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- Machine Learning, 2024, v. 113, n. 2, p. 891, doi. 10.1007/s10994-023-06410-0
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Automotive fault nowcasting with machine learning and natural language processing.
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- Machine Learning, 2024, v. 113, n. 2, p. 843, doi. 10.1007/s10994-023-06398-7
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Softmin discrete minimax classifier for imbalanced classes and prior probability shifts.
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- Machine Learning, 2024, v. 113, n. 2, p. 605, doi. 10.1007/s10994-023-06397-8
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Targeted adversarial attacks on wind power forecasts.
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- Machine Learning, 2024, v. 113, n. 2, p. 863, doi. 10.1007/s10994-023-06396-9
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Subspace Adaptation Prior for Few-Shot Learning.
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- Machine Learning, 2024, v. 113, n. 2, p. 725, doi. 10.1007/s10994-023-06393-y
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Model-based trajectory stitching for improved behavioural cloning and its applications.
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- Machine Learning, 2024, v. 113, n. 2, p. 647, doi. 10.1007/s10994-023-06392-z
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A general framework for the practical disintegration of PAC-Bayesian bounds.
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- Machine Learning, 2024, v. 113, n. 2, p. 519, doi. 10.1007/s10994-023-06391-0
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Towards accurate knowledge transfer via target-awareness representation disentanglement.
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- Machine Learning, 2024, v. 113, n. 2, p. 699, doi. 10.1007/s10994-023-06381-2
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- Article