USING KULLBACK-LEIBLER DISTANCE FOR PERFORMANCE EVALUATION OF SEARCH DESIGNS

被引：0

作者：

Talebi, H. ^{[1
]}

Esmailzadeh, N. ^{[2
]}

机构：

[1] Univ Isfahan, Dept Stat, Esfahan, Iran

[2] Univ Kurdistan, Dept Stat, Sanandaj, Iran

来源：

BULLETIN OF THE IRANIAN MATHEMATICAL SOCIETY | 2011年 / 37卷 / 04期

关键词：

Search designs; search linear model; Kullback-Leibler distance; model discrimination;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper considers the search problem,introduced by Srivastava [10]. This is a model discrimination problem. In the context of search linear models, discrimination ability of search designs has been studied by several researchers. Some criteria have been developed to measure this capability, however,they are restricted in a sense of being able to work for searching only one possible nonzero erect. In this paper, two criteria are proposed, based on Kullback-Leibler distance. These criteria are able to evaluate the search ability of designs,without any restriction on the number of nonzero erects.

引用

页码：269 / 279

页数：11

共 50 条

[21] Kullback-Leibler Boosting
Liu, C
Shum, HY
[J]. 2003 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2003, : 587 - 594
[22] Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification
Chung, Yong-Joo
[J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2008, 2008, 5326 : 49 - 56
[23] Clustering narrow-domain short texts by using the Kullback-Leibler distance
Pinto, David
Benedi, Jose-Miguel
Rosso, Paolo
[J]. COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, 2007, 4394 : 611 - +
[24] Matrix CFAR detectors based on symmetrized Kullback-Leibler and total Kullback-Leibler divergences
Hua, Xiaoqiang
Cheng, Yongqiang
Wang, Hongqiang
Qin, Yuliang
Li, Yubo
Zhang, Wenpeng
[J]. DIGITAL SIGNAL PROCESSING, 2017, 69 : 106 - 116
[25] KULLBACK-LEIBLER DISTANCE BETWEEN COMPLEX GENERALIZED GAUSSIAN DISTRIBUTIONS
Nafornita, Corina
Berthoumieu, Yannick
Nafornita, Ioan
Isar, Alexandru
[J]. 2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2012, : 1850 - 1854
[26] Kullback-Leibler distance optimization for artificial chemo-sensors
Vergara, Alexander
Muezzinoglu, Mehmet K.
Rulkov, Nikolai
Huerta, Ramon
[J]. 2009 IEEE SENSORS, VOLS 1-3, 2009, : 1146 - 1150
[27] Measuring the Influence of Observations in HMMs Through the Kullback-Leibler Distance
Perduca, Vittorio
Nuel, Gregory
[J]. IEEE SIGNAL PROCESSING LETTERS, 2013, 20 (02) : 145 - 148
[28] SAR Image Segmentation Based on Kullback-Leibler Distance of Edgeworth
Hu, Lei
Ji, Yan
Li, Yang
Gao, Feng
[J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING-PCM 2010, PT I, 2010, 6297 : 549 - 557
[29] Neighbourhood Models Induced by the Euclidean Distance and the Kullback-Leibler Divergence
Montes, Ignacio
[J]. INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS, VOL 215, 2023, 215 : 367 - 378
[30] Entropic Kullback-Leibler type distance measures for quantum distributions
Laguna, Humberto G.
Salazar, Saul J. C.
Sagar, Robin P.
[J]. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2019, 119 (19)

← 1 2 3 4 5 →