Results 31 to 40 of about 32,006,081 (306)
The Effects of Regularization and Data Augmentation are Class Dependent [PDF]
Neural Information Processing Systems, 2022 Regularization is a fundamental technique to prevent over-fitting and to improve generalization performances by constraining a model's complexity. Current Deep Networks heavily rely on regularizers such as Data-Augmentation (DA) or weight-decay, and ...
Randall Balestriero +2 more
semanticscholar +1 more source
Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees
Entropy, 2019 In this study, we present a novel method for quantifying dependencies in multivariate datasets, based on estimating the Rényi mutual information by minimum spanning trees (MSTs). The extent to which random variables are dependent is an important question,
Anne Eggels, Daan Crommelin
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On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case
SIAM Journal on Mathematics of Data Science, 2019 We consider the problem of sampling from a target distribution, which is \emph {not necessarily logconcave}, in the context of empirical risk minimization and stochastic optimization as presented in Raginsky et al. (2017). Non-asymptotic analysis results
N. H. Chau +4 more
semanticscholar +1 more source
Statistical Theory and Related Fields, 2017 This paper focuses on the influence of a misspecified covariance structure on false discovery rate for the large-scale multiple testing problem. Specifically, we evaluate the influence on the marginal distribution of local false discovery rate statistics,
Ye Liang, Joshua D. Habiger, Xiaoyi Min
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Bickel–Rosenblatt test for weakly dependent data
Mathematical Modelling and Analysis, 2012 The aim of this paper is to analyze the Bickel–Rosenblatt test for simple hypothesis in case of weakly dependent data. Although the test has nice theoretical properties, it is not clear how to implement it in practice.
Janis Valeinis, Audris Locmelis
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Age dependent normative data of vertical and horizontal reflexive saccades. [PDF]
PLoS ONE, 2018 PURPOSE:There is some controversy whether or not saccades change with age. This cross-sectional study aims to clarify the characteristics of reflexive saccades at various ages to establish a normative cohort in a standardized set-up.
Susanne Hopf +4 more
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Data integration with dependent sources [PDF]
Proceedings of the 14th International Conference on Extending Database Technology, 2011 Data integration systems offer users a uniform interface to a set of data sources. Previous work has typically assumed that the data sources are independent of each other; however, in scenarios involving large numbers of sources, such as the Web or large enterprises, there is an eco-system of dependent sources, where some sources copy parts of their ...
Anish Das Sarma +2 more
openaire +1 more source
Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family [PDF]
, 2017 We introduce a Bayesian approach for analyzing (possibly) high-dimensional dependent data that are distributed according to a member from the natural exponential family of distributions.
J. Bradley, S. Holan, C. Wikle
semanticscholar +1 more source
CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data
Molecular Systems Biology, 2023 Cells have evolved their communication methods to sense their microenvironments and send biological signals. In addition to communication using ligands and receptors, cells use diverse channels including gap junctions to communicate with their immediate ...
Hyobin Kim +11 more
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Extension of Relative-Risk Power Estimator under Dependent Random Censored Data
Современная математика: Фундаментальные направления, 2022 In this paper, the considered problem consists in estimation of conditional survival function by right random censoring model in the presence of a covariate.
A. A. Abdushukurov
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