Results 51 to 60 of about 6,198,913 (198)
IET Signal Processing, 2021 A novel 2‐bit adaptive delta modulation (ADM) algorithm is presented based on uniform scalar quantization and fractional linear prediction (FLP) for encoding the signals modelled by a Gaussian probability density function. The study focusses on two major
Zoran Peric +2 more
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A Theory of Interpretable Approximations
CoRRTo appear at COLT ...
M. Bressan +5 more
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, 2021 These proceedings are based on the international conference Approximation Theory XVI held on May 19–22, 2019 in Nashville, Tennessee. The conference was the sixteenth in a series of meetings in Approximation Theory held at various locations in the United
Fasshauer, Gregory +2 more
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Conducting Causal Analysis by Means of Approximating Probabilistic Truths
Entropy, 2022 The current paper develops a probabilistic theory of causation using measure-theoretical concepts and suggests practical routines for conducting causal inference. The theory is applicable to both linear and high-dimensional nonlinear models.
Bo Pieter Johannes Andrée
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, 2014 The present note is a corrigendum to the paper "Best approximation in polyhedral Banach spaces", J. Approx.
J. Lindenstrauss, V. P. Fonf, L. Vesely
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On the Special Viviani’s Curve and Its Corresponding Smarandache Curves
MathematicsIn the present paper, the special Viviani’s curve is revisited in the context of Smarandache geometry. Accordingly, the paper first defines the special Smarandache curves of Viviani’s curve, including the Darboux vector.
Yangke Deng +4 more
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Approximation Error Bounds via Rademacher's Complexity [PDF]
, 2008 Approximation properties of some connectionistic models, commonly used to construct approximation schemes for optimization problems with multivariable functions as admissible solutions, are investigated.
Gnecco, Giorgio, Sanguineti, Marcello
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Interpolation of Multiparameter Approximation Spaces
, 2004 We prove a general interpolation theorem for linear operators acting simultaneously in several approximation spaces which are defined by multiparametric approximation families.
Asekritova, Irina,, Brudnyi, Yuri,
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Prediction of cancer using customised fuzzy rough machine learning approaches
Healthcare Technology Letters, 2018 This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick reduct algorithm. The unbalanced data is balanced using synthetic minority oversampling technique.
Chinnaswamy Arunkumar +2 more
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Department of mathematical analysis and theory of functions celebrates 100 years!
Researches in Mathematics, 2020 In 2019 the Department of Mathematical Analysis and Theory of Functions celebrates its 100th anniversary. The history of its creation and development is given in the article in terms of the anniversary.
M.Ye. Tkachenko, M.B. Vakarchuk
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