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Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion.

, , and . ICDM, page 1278-1283. IEEE Computer Society, (2018)

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Chance constrained uncertain classification via robust optimization., , , and . Math. Program., 127 (1): 145-173 (2011)CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks., and . RECOMB, volume 13976 of Lecture Notes in Computer Science, page 104-119. Springer, (2023)Learning primal-dual sparse kernel machines., , , , and . CoRR, (2021)Principal metabolic flux mode analysis., , , and . Bioinform., 34 (14): 2409-2417 (2018)Deep Extreme Mixture Model for Time Series Forecasting., , , and . CIKM, page 1726-1735. ACM, (2022)RAPID: Resource of Asian Primary Immunodeficiency Diseases., , , , , , , , , and 13 other author(s). Nucleic Acids Res., 37 (Database-Issue): 863-867 (2009)Robust Formulations for Handling Uncertainty in Kernel Matrices., , , and . ICML, page 71-78. Omnipress, (2010)Warping Resilient Time Series Embeddings., , and . CoRR, (2019)Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion., , and . ICDM, page 1278-1283. IEEE Computer Society, (2018)A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data., , , and . Algorithms Mol. Biol., (2009)