Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Jeffrey L. Solka"'
Publikováno v:
Statistics of Quality ISBN: 9781003067559
Statistics of Quality
Statistics of Quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d5ba4126b20edb9342e85b78feb83b
https://doi.org/10.1201/9781003067559-13
https://doi.org/10.1201/9781003067559-13
Autor:
Jeffrey L. Solka, David A. Johannsen
Publikováno v:
Journal of Multivariate Analysis. 114:171-188
The goal of this paper is to give explicit procedures and equations for performing metric multidimensional scaling to surfaces. More specifically, we describe a method for determining a configuration of points in a closed and orientable surface (i.e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3e0e2eef5bce82be3f246e6e370e5dd
https://doi.org/10.1016/j.jmva.2012.06.002
https://doi.org/10.1016/j.jmva.2012.06.002
Autor:
Michael B. Briggs, Terence J. Lyons, Jesse A. Stump, Ronald N. Kostoff, Jeffrey L. Solka, Robert L. Rushenberg, Jeffrey R. Wyatt, Joel A. Block, Dustin Johnson
Publikováno v:
Annual Review of Information Science and Technology. 43:1-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6704b60aceadbd16d58c74782df32b8
https://doi.org/10.1002/aris.2009.1440430112
https://doi.org/10.1002/aris.2009.1440430112
Autor:
Michael B. Briggs, Jesse A. Stump, Terence J. Lyons, Ronald N. Kostoff, Robert L. Rushenberg, Dustin Johnson, Joel A. Block, Jeffrey R. Wyatt, Jeffrey L. Solka
Publikováno v:
Technological Forecasting and Social Change. 75:276-299
Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93da69c2244f59ac9903fcfa54555c35
https://doi.org/10.1016/j.techfore.2007.11.003
https://doi.org/10.1016/j.techfore.2007.11.003
Publikováno v:
Technological Forecasting and Social Change. 75:256-275
Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). LRD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af4aefd9a62e5bf884f78b96994a50e
https://doi.org/10.1016/j.techfore.2007.11.009
https://doi.org/10.1016/j.techfore.2007.11.009
Publikováno v:
Computational Statistics & Data Analysis. 43:621-632
The purpose of this article is to introduce a data visualization technique for class cover catch digraphs which allows for the discovery of latent subclasses. We illustrate the technique via a pedagogical example and an application to data sets from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1258ed4f544cbfa4288501c130512d5f
https://doi.org/10.1016/s0167-9473(02)00296-7
https://doi.org/10.1016/s0167-9473(02)00296-7
Autor:
Jeffrey L. Solka, David J. Marchette
Publikováno v:
Computational Statistics & Data Analysis. 43:541-552
The data image has been proposed as a method for visualizing high-dimensional data. The idea is to map the data into an image, by using gray-scale (or color) values to indicate the magnitude of each variate. Thus, the image for a data set of size n a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16965906736266a8b5ef6845cb73d93
https://doi.org/10.1016/s0167-9473(02)00291-8
https://doi.org/10.1016/s0167-9473(02)00291-8
Publikováno v:
International Journal of Image and Graphics. :145-161
The purpose of this article is to describe a new visualization framework for the analysis of hyperdimensional data. This framework was developed in order to facilitate the study of a new class of classifiers designated class cover catch digraphs. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a81c345aacb9e320c9e4f377a5fb0c
https://doi.org/10.1142/s0219467802000494
https://doi.org/10.1142/s0219467802000494
Publikováno v:
Pattern Recognition. 31:2103-2118
This paper details recent work on the use of low-level features for the identification of regions of interest in images. Using-low-level features, the system classifies regions in the image via probability densities estimates for each class. These de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::661dd6a306eb4142d809089ecefd7ec7
https://doi.org/10.1016/s0031-3203(98)00025-9
https://doi.org/10.1016/s0031-3203(98)00025-9
Publikováno v:
Journal of Statistical Planning and Inference. 73:205-213
Using ideas and techniques from related disciplines frequently proves productive and often yields new insights and methods. In this paper, a method from experimental design is applied to the robust estimation of multivariate location and scatter. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0273949cf8c2f0632a93be9ec82b7a4
https://doi.org/10.1016/s0378-3758(98)00062-7
https://doi.org/10.1016/s0378-3758(98)00062-7