AI-System for Predicting the Russia's GDP Volume Based on Dynamics of Factors in the Transport Sector

Author:

Lomakin NikolayORCID,Kulachinskaya AnastasiaORCID,Tudevdagva UranchimegORCID,Radionova ElenaORCID,Mogharbel NatalyaORCID

Publisher

Springer International Publishing

Reference34 articles.

1. Overview of the Russian transportation sector in 2019. KPMG in Russia and the CIS (2020). https://ru.investinrussia.com/data/file/ru-ru-russian-transport-survey.pdf. Accessed 24 May 2021

2. Liu, S., Gibson, J., Osadchy, M.: Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning. LG, cs.AI, stat.ML (2018). https://deepai.org/publication/learning-to-support-exploiting-structure-information-in-support-sets-for-one-shot-learning. Accessed 24 May 2021

3. Udomsak, N.: How do the naive Bayes classifier and the Support Vector Machine compare in their ability to forecast the Stock Exchange of Thailand? cs.LG (2015). https://arxiv.org/ftp/arxiv/papers/1511/1511.08987.pdf Accessed 24 May 2021

4. Shiralkar, P., Flammini, A., Menczer, F., Ciampaglia, G.L.: Finding Streams in Knowledge Graphs to Support Fact Checking. cs.AI, cs.SI (2017). https://ieeexplore.ieee.org/document/8215568. Accessed 24 May 2021

5. Breiman, L.: Bagging predictors. Mach. Learn. pp. 123–140 (1996).

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