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European journal of operational research : EJOR
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1
Convex support vector regression
Liao, Zhiqiang
;
Dai, Sheng
;
Kuosmanen, Timo
- In:
European journal of operational research : EJOR
313
(
2024
)
3
,
pp. 858-870
Persistent link: https://www.econbiz.de/10014456645
Saved in:
2
A distributionally robust chance-constrained kernel-free quadratic surface support vector machine
Lin, Fengming
;
Fang, Shu-Cherng
;
Fang, Xiaolei
;
Gao, Zheming
- In:
European journal of operational research : EJOR
316
(
2024
)
1
,
pp. 46-60
Persistent link: https://www.econbiz.de/10014566312
Saved in:
3
Cost-sensitive probabilistic predictions for support vector machines
Benítez-Peña, Sandra
;
Blanquero, Rafael
;
Carrizosa, Emilio
- In:
European journal of operational research : EJOR
314
(
2024
)
1
,
pp. 268-279
Persistent link: https://www.econbiz.de/10014456876
Saved in:
4
Preference estimation under bounded rationality : identification of attribute non-attendance in stated-choice data using a support vector machines approach
Díaz, Verónica
;
Montoya, Ricardo
;
Maldonado, Sebastián
- In:
European journal of operational research : EJOR
304
(
2023
)
2
,
pp. 797-812
Persistent link: https://www.econbiz.de/10013534567
Saved in:
5
A mixed integer linear programming support vector machine for cost-effective group feature selection : branch-cut-and-price approach
Lee, In Gyu
;
Yoon, Sang Won
;
Won, Daehan
- In:
European journal of operational research : EJOR
299
(
2022
)
3
,
pp. 1055-1068
Persistent link: https://www.econbiz.de/10013207225
Saved in:
6
Banks to basics! : why banking regulation should focus on equity
Durand, Pierre
;
LeQuang, Gaëtan
- In:
European journal of operational research : EJOR
301
(
2022
)
1
,
pp. 349-372
Persistent link: https://www.econbiz.de/10013207381
Saved in:
7
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Jiménez-Cordero, Asunción
;
Morales, Juan M.
;
Pineda, …
- In:
European journal of operational research : EJOR
293
(
2021
)
1
,
pp. 24-35
Persistent link: https://www.econbiz.de/10012502445
Saved in:
8
Selective linearization for multi-block statistical learning
Du, Yu
;
Lin, Xiaodong
;
Pham, Minh
;
Ruszczyński, Andrzej P.
- In:
European journal of operational research : EJOR
293
(
2021
)
1
,
pp. 219-228
Persistent link: https://www.econbiz.de/10012502477
Saved in:
9
A kernel-free double well potential support vector machine with applications
Gao, Zheming
;
Fang, Shu-Cherng
;
Luo, Jian
;
Medhin, Negash
- In:
European journal of operational research : EJOR
290
(
2021
)
1
,
pp. 248-262
Persistent link: https://www.econbiz.de/10012436294
Saved in:
10
Profit-based churn prediction based on Minimax Probability Machines
Maldonado, Sebastián
;
López, Julio
;
Vairetti, Carla
- In:
European journal of operational research : EJOR
284
(
2020
)
1
,
pp. 273-284
Persistent link: https://www.econbiz.de/10012238668
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11
Tightening big Ms in integer programming formulations for support vector machines with ramp loss
Baldomero-Naranjo, Marta
;
Martínez-Merino, Luisa I.
; …
- In:
European journal of operational research : EJOR
286
(
2020
)
1
,
pp. 84-100
Persistent link: https://www.econbiz.de/10012239892
Saved in:
12
An integrated method based on relevance vector machine for short-term load forecasting
Ding, Jia
;
Wang, Maolin
;
Ping, Zuowei
;
Fu, Dongfei
; …
- In:
European journal of operational research : EJOR
287
(
2020
)
2
,
pp. 497-510
Persistent link: https://www.econbiz.de/10012293858
Saved in:
13
Unsupervised quadratic surface support vector machine with application to credit risk assessment
Luo, Jian
;
Yan, Xin
;
Tian, Ye
- In:
European journal of operational research : EJOR
280
(
2020
)
3
,
pp. 1008-1017
Persistent link: https://www.econbiz.de/10012132508
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14
Functional-bandwidth kernel for Support Vector Machine with Functional Data : an alternating optimization algorithm
Blanquero, R.
;
Carrizosa, Emilio
;
Jiménez-Cordero, A.
; …
- In:
European journal of operational research : EJOR
275
(
2019
)
1
,
pp. 195-207
Persistent link: https://www.econbiz.de/10011993243
Saved in:
15
A support vector machine-based ensemble algorithm for breast cancer diagnosis
Wang, Haifeng
;
Zheng, Bichen
;
Yoon, Sang Won
;
Ko, Hoo Sang
- In:
European journal of operational research : EJOR
267
(
2018
)
2
,
pp. 687-699
Persistent link: https://www.econbiz.de/10011812713
Saved in:
16
Improving corporate bond recovery rate prediction using multi-factor support vector regressions
Nazemi, Abdolreza
;
Heidenreich, Konstantin
;
Fabozzi, …
- In:
European journal of operational research : EJOR
271
(
2018
)
2
,
pp. 664-675
Persistent link: https://www.econbiz.de/10011890354
Saved in:
17
High dimensional data classification and feature selection using support vector machines
Ghaddar, Bissan
;
Naoum-Sawaya, Joe
- In:
European journal of operational research : EJOR
265
(
2018
)
3
,
pp. 993-1004
Persistent link: https://www.econbiz.de/10011778669
Saved in:
18
European exchange trading funds trading with locally weighted support vector regression
Sermpinis, Georgios
;
Stasinakis, Charalampos
;
Rosillo, …
- In:
European journal of operational research : EJOR
258
(
2017
)
1
,
pp. 372-384
Persistent link: https://www.econbiz.de/10011642226
Saved in:
19
Cost-based feature selection for Support Vector Machines : an application in credit scoring
Maldonado, Sebastián
;
Pérez, Juan
;
Bravo, Cristián
- In:
European journal of operational research : EJOR
261
(
2017
)
2
,
pp. 656-665
Persistent link: https://www.econbiz.de/10011738061
Saved in:
20
Optimization approaches to Supervised Classification
Silva, A. Pedro Duarte
- In:
European journal of operational research : EJOR
261
(
2017
)
2
,
pp. 772-788
Persistent link: https://www.econbiz.de/10011738521
Saved in:
21
Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds
Sermpinis, Georgios
;
Stasinakis, Charalampos
; …
- In:
European journal of operational research : EJOR
263
(
2017
)
2
,
pp. 540-558
Persistent link: https://www.econbiz.de/10011793981
Saved in:
22
Enhancing two-stage modelling methodology for loss given default with support vector machines
Yao, Xiao
;
Crook, Jonathan N.
;
Andreeva, Galina
- In:
European journal of operational research : EJOR
263
(
2017
)
2
,
pp. 679-689
Persistent link: https://www.econbiz.de/10011794025
Saved in:
23
Feature selection for support vector machines using generalized benders decomposition
Aytung, Haldun
- In:
European journal of operational research : EJOR
244
(
2015
)
1
,
pp. 210-218
Persistent link: https://www.econbiz.de/10010531951
Saved in:
24
Support vector regression for loss given default modelling
Yao, Xiao
;
Crook, Jonathan N.
;
Andreeva, Galina
- In:
European journal of operational research : EJOR
240
(
2015
)
2
,
pp. 528-538
Persistent link: https://www.econbiz.de/10010487012
Saved in:
25
Advanced conjoint analysis using feature selection via support vector machines
Maldonado, Sebastián
;
Montoya, Ricardo
;
Weber, Richard
- In:
European journal of operational research : EJOR
241
(
2015
)
2
,
pp. 564-574
Persistent link: https://www.econbiz.de/10010487970
Saved in:
26
Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms : support vector regression forecast combinations
Sermpinis, Georgios
;
Stasinakis, Charalampos
; …
- In:
European journal of operational research : EJOR
247
(
2015
)
3
,
pp. 831-846
Persistent link: https://www.econbiz.de/10011386316
Saved in:
27
Interpretable support vector machines for functional data
Martin-Barragan, Belen
;
Lillo, Rosa
;
Romo, Juan
- In:
European journal of operational research : EJOR
232
(
2014
)
1
,
pp. 146-155
Persistent link: https://www.econbiz.de/10010224722
Saved in:
28
Selecting rows and columns for training support vector regression models with large retail datasets
Özden Gür Ali
;
Yaman, Kübra
- In:
European journal of operational research : EJOR
226
(
2013
)
3
,
pp. 471-480
Persistent link: https://www.econbiz.de/10009718853
Saved in:
29
A memetic approach to construct transductive discrete support vector machines
Brandner, Hubertus
;
Lessmann, Stefan
;
Voß, Stefan
- In:
European journal of operational research : EJOR
230
(
2013
)
3
,
pp. 581-595
Persistent link: https://www.econbiz.de/10009779877
Saved in:
30
A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data
Chen, Zhen-yu
;
Fan, Zhi-ping
;
Sun, Minghe
- In:
European journal of operational research : EJOR
223
(
2012
)
2
,
pp. 461-472
Persistent link: https://www.econbiz.de/10009665425
Saved in:
31
Support vector regression for warranty claim forecasting
Wu, Shaomin
;
Akbarov, Artur
- In:
European journal of operational research : EJOR
213
(
2011
)
1
,
pp. 196-204
Persistent link: https://www.econbiz.de/10009158453
Saved in:
32
Support vector machines for default prediction of SMEs based on technology credit
Kim, Hong Sik
;
Sohn, So Young
- In:
European journal of operational research : EJOR
201
(
2010
)
3
,
pp. 838-846
Persistent link: https://www.econbiz.de/10003959870
Saved in:
33
Rough support vector regression
Lingras, P.
;
Butz, C. J.
- In:
European journal of operational research : EJOR
206
(
2010
)
2
,
pp. 445-455
Persistent link: https://www.econbiz.de/10003983699
Saved in:
34
A reference model for customer-centric data mining with support vector machines
Lessmann, Stefan
;
Voß, Stefan
- In:
European journal of operational research : EJOR
199
(
2009
)
2
,
pp. 520-530
Persistent link: https://www.econbiz.de/10003867323
Saved in:
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