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Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions.

, , , , and . Bioinform., 35 (15): 2634-2643 (2019)

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Approximate Model Selection for Large Scale LSSVM., and . ACML, volume 20 of JMLR Proceedings, page 165-180. JMLR.org, (2011)Approximate Consistency: Towards Foundations of Approximate Kernel Selection., and . ECML/PKDD (1), volume 8724 of Lecture Notes in Computer Science, page 354-369. Springer, (2014)Identification of genome-wide non-canonical spliced regions and analysis of biological functions for spliced sequences using Read-Split-Fly., , , , , and . BMC Bioinform., 18 (S-11): 37-48 (2017)MMiRNA-Viewer2, a bioinformatics tool for visualizing functional annotation for MiRNA and MRNA pairs in a network., , , , , , , , and . BMC Bioinform., 21-S (4): 247 (2020)An Approximate Approach to Automatic Kernel Selection., and . IEEE Trans. Cybern., 47 (3): 554-565 (2017)Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices., , , , and . AAAI, page 2910-2917. AAAI Press, (2018)Model Selection with the Covering Number of the Ball of RKHS., and . CIKM, page 1159-1168. ACM, (2014)Efficient Cross-Validation for Semi-Supervised Learning., , , , and . CoRR, (2019)Self-supervised Smoothing Graph Neural Networks., , , , , , and . CoRR, (2020)Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data., , , , , , , , and . AAAI, page 3454-3461. AAAI Press, (2019)