Lice692 发表于 2025-3-28 17:13:57

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向下五度才偏 发表于 2025-3-28 20:31:22

K. Tawada,M. Toyoda,Y. Imafuku,A. Yamada an Italian airline by applying a Principal Component Analysis (PCA) - Data Envelopment Analysis (DEA) model and we verify which airline routes are ranked among the most efficient ones by also including, in the proposed model, the presence of this undesirable output.

incarcerate 发表于 2025-3-28 22:56:03

https://doi.org/10.1007/978-3-662-39761-9 (k-NN) and the Singular Value Decomposition (SVD), with Feed-Forward Neural Networks; given these assumptions, we finally demonstrated that a “Deep” Neural architecture could achieve better results in terms of “loss” generated by the model, laying the foundations for a new, innovative paradigm in service recommendation science.

评论者 发表于 2025-3-29 03:58:12

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托人看管 发表于 2025-3-29 07:31:43

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陪审团每个人 发表于 2025-3-29 12:47:56

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iodides 发表于 2025-3-29 18:29:54

Quality and Efficiency Evaluation of Airlines Services an Italian airline by applying a Principal Component Analysis (PCA) - Data Envelopment Analysis (DEA) model and we verify which airline routes are ranked among the most efficient ones by also including, in the proposed model, the presence of this undesirable output.

影响 发表于 2025-3-29 20:59:39

Collaborative Recommendations with Deep Feed-Forward Networks: An Approach to Service Personalizatio (k-NN) and the Singular Value Decomposition (SVD), with Feed-Forward Neural Networks; given these assumptions, we finally demonstrated that a “Deep” Neural architecture could achieve better results in terms of “loss” generated by the model, laying the foundations for a new, innovative paradigm in service recommendation science.

fiscal 发表于 2025-3-30 03:20:08

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Anecdote 发表于 2025-3-30 04:24:44

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查看完整版本: Titlebook: Exploring Service Science; 10th International C Henriqueta Nóvoa,Monica Drăgoicea,Niklas Kühl Conference proceedings 2020 The Editor(s) (if