Encoding dissimilarity data for statistical model building
type: Item
instance of: scholarly article
title: Encoding dissimilarity data for statistical model building
zbMATH Open document ID: 1404.62005
author: Grace Wahba
published in: Journal of Statistical Planning and Inference
publication date: 2010-09-20T00:00:00Z
full work available at URL: pmc2929577
Mathematics Subject Classification ID: 62-02
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 5788968
zbMATH Keywords: dissimilarity data
zbMATH Keywords: reproducing kernel Hilbert spaces
zbMATH Keywords: regularized kernel estimation
zbMATH Keywords: regularization manifold unfolding
zbMATH Keywords: penalized likelihood
zbMATH Keywords: support vector machines
zbMATH Keywords: radial basis functions
describes a project that uses: gss
describes a project that uses: SDPT3
describes a project that uses: DSDP5
MaRDI profile type: Publication
OpenAlex ID: W2150867708
Wikidata QID: Q33683312
cites work: Theory of Reproducing Kernels
cites work: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
cites work: Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
cites work: Smoothing Spline ANOVA for Multivariate Bernoulli Observations With Application to Ophthalmology Data
cites work: Smoothing spline ANOVA models
cites work: Some results on Tchebycheffian spline functions and stochastic processes
cites work: Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
cites work: Q3093181
cites work: Multicategory Support Vector Machines
cites work: Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV.
cites work: An index of genealogical relatedness derived from a genetic model
cites work: Framework for kernel regularization with application to protein clustering
cites work: Q5787676
cites work: Spatial variation. 2nd ed
cites work: Q3293778
cites work: An Approach to Time Series Analysis
cites work: Q3293721
cites work: Q5553815
cites work: Q5667325
cites work: Data spectroscopy: eigenspaces of convolution operators and clustering
cites work: On Absolute Continuity of Measures Corresponding to Homogeneous Gaussian Fields
cites work: Interpolation of spatial data. Some theory for kriging
cites work: Solving semidefinite-quadratic-linear programs using SDPT3
cites work: Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
cites work: Q3996207
cites work: Soft and hard classification by reproducing kernel Hilbert space methods
cites work: Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture)
cites work: Q4894937
cites work: Introduction to Semi-Supervised Learning
DOI: 10.1016/J.JSPI.2010.04.025
description: scientific article; zbMATH DE number 5788968