Results 11 to 20 of about 3,462,120 (290)
Data-Dependent Randomized Smoothing
CoRR, 2020 Randomized smoothing is a recent technique that achieves state-of-art performance in training certifiably robust deep neural networks. While the smoothing family of distributions is often connected to the choice of the norm used for certification, the parameters of these distributions are always set as global hyper parameters independent from the input
Motasem Alfarra +3 more
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Neuropsychopharmacology Reports, 2022 Aim No effective pharmacological interventions have been developed for patients with methamphetamine use disorder. Ifenprodil is a blocker of G protein‐activated inwardly rectifying potassium channels, which play a key role in the mechanism of action of ...
Hiroko Kotajima‐Murakami +15 more
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Ulam stability and data dependence for fractional differential equations with Caputo derivative
Electronic Journal of Qualitative Theory of Differential Equations, 2011 In this paper, Ulam stability and data dependence for fractional differential equations with Caputo fractional derivative of order $\alpha$ are studied. We present four types of Ulam stability results for the fractional differential equation in the case ...
JinRong Wang, Linli Lv, Yong Zhou
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An Example of Data Dependence Result for The Class of Almost Contraction Mappings [PDF]
Sahand Communications in Mathematical Analysis, 2020 In the present paper, we show that $S^*$ iteration method can be used to approximate fixed point of almost contraction mappings. Furthermore, we prove that this iteration method is equivalent to CR iteration method and it produces a slow convergence ...
Yunus Atalan, Vatan Karakaya
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Dependence Estimation and Visualization in Multivariate Extremes with Applications to Financial Data [PDF]
, 2003 We investigate extreme dependence in a multivariate setting with special emphasis on financial applications. We introduce a new dependence function which allows us to capture the complete extreme dependence structure and present a nonparametric ...
Hsing, T. +2 more
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Coupled fixed point sets with data-dependence and stability [PDF]
Surveys in Mathematics and its Applications, 2022 In this paper we establish a coupled fixed point theorem of a coupled multivalued mapping defined on a complete metric space. In our result we use a new contractive inequality. There are rational terms in the expression of the inequality. The contractive
Binayak S. Choudhury +2 more
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Mining data quality rules based on T-dependence [PDF]
, 2019 Since their introduction in 1976, edit rules have been a standard tool in statistical analysis. Basically, edit rules are a compact representation of non-permitted combinations of values in a dataset.
Boeckling, Toon +2 more
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Review, 2007 A speech at the Middle Tennessee State University, Annual Economic Outlook Conference, Murfreesboro, Tenn., Sept.
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A MULTIVALUED FIXED POINT RESULT WITH ASSOCIATED DATA DEPENDECE AND STABILITY STUDY
Проблемы анализа, 2021 In this paper, our primary result is on the existence of non-empty fixed point sets for a new multivalued function defined here. An admissibility condition is also postulated and used in the main theorem.
B. S. Choudhury, N. Metiya, S. Kundu
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Dependent Functional Data [PDF]
ISRN Probability and Statistics, 2012 This paper reviews recent research on dependent functional data. After providing an introduction to functional data analysis, we focus on two types of dependent functional data structures: time series of curves and spatially distributed curves. We review statistical models, inferential methodology, and possible extensions.
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