Results 21 to 30 of about 985,928 (292)
Non-parametric Cosmology with Cosmic Shear [PDF]
, 2019 We present a method to measure the growth of structure and the background geometry of the Universe -- with no a priori assumption about the underlying cosmological model.
Kitching, Thomas D. +2 more
core +2 more sources
Non-Parametric Clustering Using Deep Neural Networks
IEEE Access, 2020 In this paper, a novel algorithm for non-parametric image clustering, is proposed. Non-parametric clustering methods operate by considering the number of clusters unknown as opposed to parametric clustering, where the number of clusters is known a priori.
Christos Avgerinos +3 more
doaj +1 more source
Genome-wide search for strabismus susceptibility loci. [PDF]
, 2003 The purpose of this study was to search for chromosomal susceptibility loci for comitant strabismus. Genomic DNA was isolated from 10mL blood taken from each member of 30 nuclear families in which 2 or more siblings are affected by either esotropia or ...
Fujiwara, Hirotake +6 more
core +1 more source
On Parametric (and Non-Parametric) Variation
Biolinguistics, 2009 This article raises the issue of the correct characterization of ‘Parametric Variation’ in syntax and phonology. After specifying their theoretical commitments, the authors outline the relevant parts of the Principles–and–Parameters framework, and draw a
Neil Smith, Ann Law
doaj +1 more source
Nihon Kikai Gakkai ronbunshu, 2014 This paper describes a parameter-free free-form optimization method for shell structures to reduce the noise in a closed acoustic field. Squared sound pressure, which is evaluated by solving fully coupled shell-acoustic interaction system, is selected as
Masatoshi SHIMODA, Kensuke SHIMOIDE
doaj +1 more source
The use of statistics in social sciences [PDF]
Journal of Humanities and Applied Social Sciences, 2019 Purpose – The purpose this paper is to review some of the statistical methods used in the field of social sciences. Design/methodology/approach – A review of some of the statistical methodologies used in areas like survey methodology, official statistics,
Petros Maravelakis
doaj +1 more source
Keyed Non-Parametric Hypothesis Tests
, 2020 The recent popularity of machine learning calls for a deeper understanding of AI security. Amongst the numerous AI threats published so far, poisoning attacks currently attract considerable attention.
A Kerckhoffs +7 more
core +1 more source
Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management
Energies, 2018 The purpose of the paper is to explore the relative biases in the estimation of the Full BEKK model as compared with the Diagonal BEKK model, which is used as a theoretical and empirical benchmark.
David E. Allen, Michael McAleer
doaj +1 more source
Receiver Operator Characteristic Analysis of Biomarkers Evaluation in Diagnostic Research [PDF]
Journal of Clinical and Diagnostic Research, 2018 Receiver Operator Characteristic (ROC) analysis is the choice of method in evaluation of biomarkers in bioinformatics research. However, there is no single method and also no single accuracy index in evaluating diagnostic tools.
Karimollah Hajian-Tilaki
doaj +1 more source
Infinite factorization of multiple non-parametric views [PDF]
, 2010 Combined analysis of multiple data sources has increasing application interest, in particular for distinguishing shared and source-specific aspects. We extend this rationale of classical canonical correlation analysis into a flexible, generative and non ...
A. Gelman +29 more
core +2 more sources