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WHEN CAN YOU TRUST FEATURE SELECTION? – I: A ...
www.damtp.cam.ac.uk/research/afha/anders/InitialSubmitFeatureSelectionDeterministic.pdf18 Dec 2023: Remark 1.3 (Trustworthiness of algorithms). By ’trustworthy algorithm’ for a computational problem, we meanthe following. ... Condition in optimisation: Condition numbers in computational mathematics and numerical analysis have beena mainstay [27, 39] -
WHEN CAN YOU TRUST FEATURE SELECTION? – II: ON ...
www.damtp.cam.ac.uk/research/afha/anders/InitialSubmitFeatureSelectionProbabilistic.pdf18 Dec 2023: Hence, we assume that algorithms accessthe input to whatever finite precision desired and that all computational operations are done exactly. ... It is also a part of broader efforts to establishthe mathematics behindthe Solvability Complexity Index (SCI) -
Convergence analysis of oversampled collocation boundary element…
www.damtp.cam.ac.uk/user/gam37/preprints/preprint_oversampled_collocation_maierhoferhuybrechs.pdf1 May 2024: Mathematics Subject Classification (2020) 45B05 65N35. The work of the first author was supported by the UK Engineering and Physical Sciences Research Council(EPSRC) grant EP/L016516/1 for the University ... The latter is, ofcourse, computationally less
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