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Learning on Hypergraphs With Sparsity.

, and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (8): 2710-2722 (2021)

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Boosting prior knowledge in streaming variational Bayes., , , , and . Neurocomputing, (2021)Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 2560-2567. IOS Press, (2023)Simple but effective methods for combining kernels in computational biology., , , and . RIVF, page 71-78. IEEE, (2008)Fast and Robust Multi-View Multi-Task Learning via Group Sparsity., , and . IJCAI, page 3499-3505. ijcai.org, (2019)Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity., , and . Interval / Probabilistic Uncertainty and Non-Classical Logics, volume 46 of Advances in Soft Computing, Springer, (2008)Selecting Graph Cut Solutions via Global Graph Similarity., , and . IEEE Trans. Neural Networks Learn. Syst., 25 (7): 1407-1412 (2014)Latent Feature Kernels for Link Prediction on Sparse Graphs., and . IEEE Trans. Neural Networks Learn. Syst., 23 (11): 1793-1804 (2012)An Imbalanced Data Rule Learner., and . PKDD, volume 3721 of Lecture Notes in Computer Science, page 617-624. Springer, (2005)New Resistance Distances with Global Information on Large Graphs., and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 639-647. JMLR.org, (2016)Kernels for Link Prediction with Latent Feature Models., and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 517-532. Springer, (2011)