Results 11 to 20 of about 23,197,056 (323)
Image Restoration with Mean-Reverting Stochastic Differential Equations [PDF]
International Conference on Machine Learning, 2023 This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration. The key construction consists in a mean-reverting SDE that transforms a high-quality image into a degraded counterpart as a mean state with fixed
Ziwei Luo +4 more
semanticscholar +1 more source
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not
Geoscientific Model Development, 2022 . The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. Hodson
semanticscholar +1 more source
Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range [PDF]
BMC Medical Research Methodology, 2014 BackgroundIn systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials.
X. Wan +3 more
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What Does it Mean for a Language Model to Preserve Privacy? [PDF]
Conference on Fairness, Accountability and Transparency, 2022 Natural language reflects our private lives and identities, making its privacy concerns as broad as those of real life. Language models lack the ability to understand the context and sensitivity of text, and tend to memorize phrases present in their ...
Hannah Brown +4 more
semanticscholar +1 more source
Propose Data Mining System to Advance E-Learning Over Online Social Network (Facebook) [PDF]
Engineering and Technology Journal, 2015 This research presents a proposal to advance e-learning over online social network, facebook, through analyzing the structure of this network and the behavior of their users.
Soukaena Hassan Hashem +1 more
doaj +1 more source
Coinciding Mean of the Two Symmetries on the Set of Mean Functions
Axioms, 2023 On the set M of mean functions, the symmetric mean of M with respect to mean M0 can be defined in several ways. The first one is related to the group structure on M, and the second one is defined trough Gauss’ functional equation.
Lenka Mihoković
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Integral Inequalities of Hermite–Hadamard Type for Extended s-Convex Functions and Applications
Mathematics, 2018 In the paper, the authors set up an identity for a function whose third derivative is integrable, establish by the Hölder inequality some new integral inequalities of the Hermite⁻Hadamard type for extended s-convex functions in the second ...
Ye Shuang, Feng Qi
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Continuous time mean-variance portfolio optimization through the mean field approach [PDF]
, 2016 A simple mean-variance portfolio optimization problem in continuous time is solved using the mean field approach. In this approach, the original optimal control problem, which is time inconsistent, is viewed as the McKean\u2013Vlasov limit of a family of
Fischer, Markus, Livieri, Giulia
core +3 more sources
, 2014 . Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a ...
T. Chai, R. Draxler
semanticscholar +1 more source
Sub-Gaussian mean estimators [PDF]
, 2015 We discuss the possibilities and limitations of estimating the mean of a real-valued random variable from independent and identically distributed observations from a non-asymptotic point of view.
Devroye, Luc +3 more
core +5 more sources