Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation
- 1 October 2019
- journal article
- research article
- Published by Elsevier BV in Transportation Research Part B: Methodological
- Vol. 128, 129-157
- https://doi.org/10.1016/j.trb.2019.07.017
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (71701178, 71831008)
This publication has 47 references indexed in Scilit:
- Estimated incident cost savings in shipping due to inspectionsAccident Analysis & Prevention, 2011
- Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?Applied Intelligence, 2011
- Evidence on target factors used for port state control inspectionsMarine Policy, 2009
- On the effectiveness of port state control inspectionsTransportation Research. Part E, Logistics and Transportation Review, 2008
- Enforcement of law by the Port State Control (PSC)Maritime Policy & Management, 2008
- Econometric analysis on the effect of port state control inspections on the probability of casualty: Can targeting of substandard ships for inspections be improved?Marine Policy, 2007
- An econometric analysis of deficiencies noted in port state control inspectionsMaritime Policy & Management, 2007
- Bayesian network classifiers versus selective k-NN classifierPattern Recognition, 2005
- Who is safe and who is at risk: a study of 20-year-record on accident total loss in different flagsMaritime Policy & Management, 1999
- Port state control versus marine environmental pollutionMaritime Policy & Management, 1989