1. A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service;Acid;Artif. Intell. Med.,2004
2. Daily activity pattern recognition by using support vector machines with multiple classes;Allahviranloo;Transp. Res. Part B: Meth.,2013
3. Regimes in social–cultural events-driven activity sequences: modelling approach and empirical application;Arentze;Transp. Res. Part A: Policy Pract.,2009
4. Discrete Choice Analysis: Theory and Application to Travel Demand;Ben-Akiva,1985
5. Bouckaert, R.R., 2008. Bayesian Network Classifiers in Weka for Version 3-5-7. The University of Waikato, Hamilton, New Zealand.