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Forecasting the insolvency of US banks using Support Vector Machines (SVMs) based on local learning feature selection

Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: International journal of computational economics and … 3 (2013) 1/2, pp. 83-90

Persistent link: https://www.econbiz.de/10010250320

A new efficient learning approach E-PDLA in assessing the knowledge of breast cancer dataset

Mehfooza, M.; Pattabiraman, V. - In: International journal of services and operations … 38 (2021) 2, pp. 153-160

Persistent link: https://www.econbiz.de/10012522324

High-dimensional learning under approximate sparsity with applications to nonsmooth estimation and regularized neural networks

Liu, Hongcheng; Ye, Yinyu; Lee, Hung Yi - In: Operations research 70 (2022) 6, pp. 3176-3197

Persistent link: https://www.econbiz.de/10014307657

An efficient FLANN model with CRO-based gradient descent learning for classification

Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116

Persistent link: https://www.econbiz.de/10011520250

Multi-item EPQ model with learning effect on imperfect production over fuzzy-random planning horizon

Manna, Amalesh Kumar; Das, Barun; Dey, Jayanta Kumar; … - In: Journal of management analytics 4 (2017) 1, pp. 80-110

Persistent link: https://www.econbiz.de/10011771081

A combined approach for two-agent scheduling with sum-of-processing-times-based learning effect

Wu, Wen-Hung; Yin, Yunqiang; Cheng, T. C. E.; Lin, Win-Chin - In: Journal of the Operational Research Society : OR 68 (2017) 2, pp. 111-120

Persistent link: https://www.econbiz.de/10011625849

Deep learning-based genetic algorithm for the robust hub allocation problem with discrete scenarios

Berrajaa, Achraf - In: International journal of logistics systems and … 48 (2024) 4, pp. 489-507

Persistent link: https://www.econbiz.de/10015065804

Minimization of the total weighted tardiness on a single machine scheduling problem with a position based learning effect and unequal release dates

Muştu, Settar; Eren, Tamer - In: INFOR : information systems and operational research 59 (2021) 2, pp. 353-376

Persistent link: https://www.econbiz.de/10012627125

An efficient adaptive genetic algorithm technique to improve the neural network performance with aid of adaptive GA operators

Kumar, Katha Kishor; Pabboju, Suresh - In: International journal of networking and virtual … 20 (2019) 2, pp. 127-142

Persistent link: https://www.econbiz.de/10012030863

Parameter learning and change detection using a particle filter with accelerated adaptation

Gellert, Karol; Schlögl, Erik - In: Risks : open access journal 9 (2021) 12, pp. 1-18

This paper presents the construction of a particle filter, which incorporates elements inspired by genetic algorithms, in order to achieve accelerated adaptation of the estimated posterior distribution to changes in model parameters. Specifically, the filter is designed for the situation where...

Persistent link: https://www.econbiz.de/10012794245