Author:
Yang Shuo,Deng Wei,Deng Qionghua,Fu Pengming
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Reference20 articles.
1. Allahviranloo, M., Recker, W. (2013). “Daily activity pattern recognition by using support vector machines with multiple classes.” Transportation Research Part B: Methodological, ELSEVIER, Vol. 58, pp. 16–43, DOI: 10.1016/j.trb.2013.09.008.
2. Bhat, C. R., Goulias, K. G., and Pendyala, R. M. (2013). “A householdlevel activity pattern generation model with an application for southern California.” Transportation, SPRINGER, Vol. 40, No. 5, pp. 1063–1086, DOI: 10.1007/s11116-013-9452-y.
3. Chang, C. C. and Lin, C. J. (2014). LIBSVM: A library for support vector machines, Taipei, Taiwan: National Taiwan University, Available from: https://www.csie.ntu.edu.tw/~cjlin/libsvm/.
4. Cortes, C. and Vapnik, V. (1995). “Support-vector Network.” Machine Learning, Vol. 20, pp. 273–297, DOI: 10.1023/A:1022627411411.
5. Ettema, D., Schwanen, T., and Timmermans, H. (2007). “The effect of location, mobility and socio-demographic factors on task and time allocation of households.” Transportation, SPRINGER, Vol. 34, No. 1, pp. 89–105, DOI: 10.1007/s11116-006-0007-3.
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献