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INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis.

, , , , , and . Algorithms Mol. Biol., 16 (1): 17 (2021)

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Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data., , , and . MSML, volume 145 of Proceedings of Machine Learning Research, page 1-36. PMLR, (2021)Optimal approximation of infinite-dimensional holomorphic functions II: recovery from i.i.d. pointwise samples., , and . CoRR, (2023)Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data., , , and . CoRR, (2020)A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples., , and . ICML, OpenReview.net, (2024)Optimal deep learning of holomorphic operators between Banach spaces., , and . CoRR, (2024)A unified framework for learning with nonlinear model classes from arbitrary linear samples., , and . CoRR, (2023)Polynomial approximation via compressed sensing of high-dimensional functions on lower sets., , , and . Math. Comput., 87 (311): 1415-1450 (2018)Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks., , , and . CoRR, (2024)Learning High-Dimensional Hilbert-Valued Functions With Deep Neural Networks From Limited Data., , , and . AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis., , , , , and . Algorithms Mol. Biol., 16 (1): 17 (2021)