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Volumn 6322 LNAI, Issue PART 2, 2010, Pages 259-273

Collective traffic forecasting

Author keywords

[No Author keywords available]

Indexed keywords

CALIFORNIA; COLLECTIVE TRAFFICS; INTELLIGENT TRANSPORTATION SYSTEMS; LEAD TIME; MARKOV LOGIC NETWORKS; MULTIPLE NODES; PERFORMANCE IMPROVEMENTS; PERFORMANCE MEASUREMENT SYSTEM; SPECIFIC WEIGHTS; STATISTICAL RELATIONAL LEARNING; TEMPORAL DIMENSIONS; TRAFFIC FORECASTING; TRAFFIC MANAGEMENT; TRANSPORT NETWORKS;

EID: 78049358034     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15883-4_17     Document Type: Conference Paper
Times cited : (33)

References (24)
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    • Bottou, L.1
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    • Multivariate short-term traffic flow forecasting using time-series analysis
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    • Ghosh, B.1    Basu, B.2    O'Mahony, M.3
  • 10
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    • Space-time modeling of traffic flow
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    • Lippi, M.1    Frasconi, P.2
  • 14
    • 84863373241 scopus 로고    scopus 로고
    • Conditional neural fields
    • Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C. K. I., Culotta, A. eds.
    • Peng, J., Bo, L., Xu, J.: Conditional neural fields. In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C. K. I., Culotta, A. (eds.) Advances in Neural Information Processing Systems, vol. 22, pp. 1419-1427 (2009)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.