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Learning structurally indeterminate clauses
1998This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of learning in structural domains. Structurally indeterminate clauses capture an important background knowledge in structural domains such as medicine, chemistry or computational
Zucker, Jean-Daniel +1 more
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Collaborative structure and feature learning for multi-view clustering
Information Fusion, 2023Jindong Xu, Meiqi Gu, Weiqing Yan
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D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery
ACM Computing Surveys, 2023Necati Cihan CAMGÖZ +2 more
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Improved protein structure prediction using potentials from deep learning
Nature, 2020John Jumper +2 more
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Multilabel Feature Selection: A Local Causal Structure Learning Approach
IEEE Transactions on Neural Networks and Learning Systems, 2023Jiuyong Li, Kui Yu, Lin Liu
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Improved K2 algorithm for Bayesian network structure learning
Engineering Applications of Artificial Intelligence, 2020Hamid Beigy
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GSAL: Geometric structure adversarial learning for robust medical image segmentation
Pattern Recognition, 2023Sheng Huang
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