Support vector machines versus logistic regression: improving prospective performance in clinical decision-making

被引：50

作者：

Pochet, NLMM ^{[1
]}

Suykens, JAK ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Elect Engn, B-3001 Louvain, Belgium

来源：

ULTRASOUND IN OBSTETRICS & GYNECOLOGY | 2006年 / 27卷 / 06期

关键词：

D O I：

10.1002/uog.2791

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

引用

页码：607 / 608

页数：2

共 7 条

[1]

[Anonymous], 2002, Least Squares Support Vector Machines

[2] New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography [J].

De Smet, F. ;

De Brabanter, J. ;

Van Den Boschs, T. ;

Pochet, N. ;

Amant, F. ;

Van Holsbeke, C. ;

Moerman, P. ;

De Moor, B. ;

Vergote, I. ;

Timmerman, D. .

ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2006, 27 (06) :664-671

[3] An algorithm including results of gray-scale and power Doppler ultrasound examination to predict endometrial malignancy in women with postmenopausal bleeding [J].

Epstein, E ;

Skoog, L ;

Isberg, PE ;

De Smet, F ;

De Moor, B ;

Olofsson, PÅ ;

Gudmundsson, S ;

Valentin, L .

ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2002, 20 (04) :370-376

[4] Stronger association between obesity and biochemical progression after radical prostatectomy among men treated in the last 10 years [J].

Freedland, SJ ;

Isaacs, WB ;

Mangold, LA ;

Yiu, SK ;

Grubb, KY ;

Partin, AW ;

Epstein, JI ;

Walsh, PC ;

Platz, EA .

CLINICAL CANCER RESEARCH, 2005, 11 (08) :2883-2888

[5] Benchmarking least squares support vector machine classifiers [J].

van Gestel, T ;

Suykens, JAK ;

Baesens, B ;

Viaene, S ;

Vanthienen, J ;

Dedene, G ;

de Moor, B ;

Vandewalle, J .

MACHINE LEARNING, 2004, 54 (01) :5-32

[6]

Vapnik V., 1998, STAT LEARNING THEORY, V1, P2

[7]

LS SVMLAB VERSION 1

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