A statistical technique for evaluating the significance of control parameters of mapping procedures

Mayer E. Aladjem

doi:10.1016/0167-8655(93)90048-I

A statistical technique for evaluating the significance of control parameters of mapping procedures

Mayer E. Aladjem

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In this article, a strategy for estimating the significance of control parameters of mapping procedures is suggested. It is based on cross-classification analysis using measures of association. The proposed strategy provides a method for the objective estimation of the significance of control parameters, as opposed to the estimation by experience that is typically used. In a companion paper an application of the proposed method for evaluating the significance of the control parameters of a nonparametric linear mapping procedure is described. It demonstrates the effectiveness of the method.

Original language	English
Pages (from-to)	631-636
Number of pages	6
Journal	Pattern Recognition Letters
Volume	14
Issue number	8
DOIs	https://doi.org/10.1016/0167-8655(93)90048-I
State	Published - 1 Jan 1993

Keywords

Mapping of multidimensional data
classifier design
feature extraction
measures of association

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

Access to Document

10.1016/0167-8655(93)90048-I

Cite this

@article{ee2629e6bbfe421fb5a84fbe8d1b4384,

title = "A statistical technique for evaluating the significance of control parameters of mapping procedures",

abstract = "In this article, a strategy for estimating the significance of control parameters of mapping procedures is suggested. It is based on cross-classification analysis using measures of association. The proposed strategy provides a method for the objective estimation of the significance of control parameters, as opposed to the estimation by experience that is typically used. In a companion paper an application of the proposed method for evaluating the significance of the control parameters of a nonparametric linear mapping procedure is described. It demonstrates the effectiveness of the method.",

keywords = "Mapping of multidimensional data, classifier design, feature extraction, measures of association",

author = "Aladjem, {Mayer E.}",

note = "Funding Information: This work was supported in part by the Israeli Ministry of Science and Technology under contract number 3528, and in part by the Paul Ivanier Center for Robotics and Production Management, Ben Gurion University of the Negev, Israel.",

year = "1993",

month = jan,

day = "1",

doi = "10.1016/0167-8655(93)90048-I",

language = "English",

volume = "14",

pages = "631--636",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

number = "8",

}

TY - JOUR

T1 - A statistical technique for evaluating the significance of control parameters of mapping procedures

AU - Aladjem, Mayer E.

N1 - Funding Information: This work was supported in part by the Israeli Ministry of Science and Technology under contract number 3528, and in part by the Paul Ivanier Center for Robotics and Production Management, Ben Gurion University of the Negev, Israel.

PY - 1993/1/1

Y1 - 1993/1/1

N2 - In this article, a strategy for estimating the significance of control parameters of mapping procedures is suggested. It is based on cross-classification analysis using measures of association. The proposed strategy provides a method for the objective estimation of the significance of control parameters, as opposed to the estimation by experience that is typically used. In a companion paper an application of the proposed method for evaluating the significance of the control parameters of a nonparametric linear mapping procedure is described. It demonstrates the effectiveness of the method.

AB - In this article, a strategy for estimating the significance of control parameters of mapping procedures is suggested. It is based on cross-classification analysis using measures of association. The proposed strategy provides a method for the objective estimation of the significance of control parameters, as opposed to the estimation by experience that is typically used. In a companion paper an application of the proposed method for evaluating the significance of the control parameters of a nonparametric linear mapping procedure is described. It demonstrates the effectiveness of the method.

KW - Mapping of multidimensional data

KW - classifier design

KW - feature extraction

KW - measures of association

UR - http://www.scopus.com/inward/record.url?scp=0027880990&partnerID=8YFLogxK

U2 - 10.1016/0167-8655(93)90048-I

DO - 10.1016/0167-8655(93)90048-I

M3 - Article

AN - SCOPUS:0027880990

VL - 14

SP - 631

EP - 636

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

IS - 8

ER -

A statistical technique for evaluating the significance of control parameters of mapping procedures

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this