Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading.
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| Title: | Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading. |
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| Authors: | Dixon, Matthew F.1, Polson, Nicholas G.2, Sokolov, Vadim O.3 |
| Source: | Applied Stochastic Models in Business & Industry. May2019, Vol. 35 Issue 3, p788-807. 20p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 136998101 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=136998101 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asmb.2399 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 788 Titles: – TitleFull: Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dixon, Matthew F. – PersonEntity: Name: NameFull: Polson, Nicholas G. – PersonEntity: Name: NameFull: Sokolov, Vadim O. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 15241904 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: Applied Stochastic Models in Business & Industry Type: main |
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