Works matching IS 08856125 AND DT 2023 AND VI 112 AND IP 2
Results: 12
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations.
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- 2023
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- Publication type:
- Correction Notice
Robust federated learning under statistical heterogeneity via hessian-weighted aggregation.
- Published in:
- Machine Learning, 2023, v. 112, n. 2, p. 633, doi. 10.1007/s10994-022-06292-8
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- Article
Constrained regret minimization for multi-criterion multi-armed bandits.
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- Machine Learning, 2023, v. 112, n. 2, p. 431, doi. 10.1007/s10994-022-06291-9
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- Article
Efficient learning of large sets of locally optimal classification rules.
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- Machine Learning, 2023, v. 112, n. 2, p. 571, doi. 10.1007/s10994-022-06290-w
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- Article
Circular-symmetric correlation layer.
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- Machine Learning, 2023, v. 112, n. 2, p. 611, doi. 10.1007/s10994-022-06288-4
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- Article
Learning multi-agent coordination through connectivity-driven communication.
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- Machine Learning, 2023, v. 112, n. 2, p. 483, doi. 10.1007/s10994-022-06286-6
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- Publication type:
- Article
Hierarchically structured task-agnostic continual learning.
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- Machine Learning, 2023, v. 112, n. 2, p. 655, doi. 10.1007/s10994-022-06283-9
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- Article
FFNSL: Feed-Forward Neural-Symbolic Learner.
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- Machine Learning, 2023, v. 112, n. 2, p. 515, doi. 10.1007/s10994-022-06278-6
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- Publication type:
- Article
Relational data embeddings for feature enrichment with background information.
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- Machine Learning, 2023, v. 112, n. 2, p. 687, doi. 10.1007/s10994-022-06277-7
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- Publication type:
- Article
Embedding to reference t-SNE space addresses batch effects in single-cell classification.
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- Machine Learning, 2023, v. 112, n. 2, p. 721, doi. 10.1007/s10994-021-06043-1
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- Publication type:
- Article
A parameter-less algorithm for tensor co-clustering.
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- Machine Learning, 2023, v. 112, n. 2, p. 385, doi. 10.1007/s10994-021-06002-w
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- Publication type:
- Article
WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks.
- Published in:
- Machine Learning, 2023, v. 112, n. 2, p. 459, doi. 10.1007/s10994-021-05979-8
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- Publication type:
- Article