- March 3, 2005 12:47 WSPC/Trim Size: 9in x 6in for Review Volume LindLangMMR04.Rev.March05 STATISTICAL MODELLING AND INFERENCE FOR
- Helge Langseth and Thomas D. Nielsen: Latent Classification Models for Binary Data
- The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits
- AALBORG UNIVERSITY Latent Classification Models
- Modelling of dependence between critical failure and preventive maintenance
- Annals of Mathematics and Artificial Intelligence 32: 221243, 2001. 2001 Kluwer Academic Publishers. Printed in the Netherlands.
- To appear in Journal of Machine Learning Research Fusion of Domain Knowledge with Data for Structural
- Learning Retrieval Knowledge from Data Helge Langseth
- Decision Theoretic Troubleshooting of Coherent Systems
- Maximum Likelihood Learning of Conditional MTE Distributions
- Explanations in Bayesian Networks using Provenance through Case-based Reasoning
- Towards a More Expressive Model for Dynamic Classification Shengtong Zhong
- Helge Langseth, Thomas D. Nielsen, Rafael Rumi, and Antonio Salmeron
- AALBORG UNIVERSITY TECHNICAL REPORT
- Local-Global-Learning of Naive Bayesian Classifier Shengtong Zhong, Helge Langseth
- Helge Langseth, Thomas D. Nielsen, Rafael Rumi, and Antonio Salmeron
- Bayesian Networks in Reliability: The Good, the Bad, and the Ugly
- eqr 439: Bayesian belief network computation for reliability
- Dipartimento di Informatica Universit`a del Piemonte Orientale "A. Avogadro"
- Competing risks for repairable systems: A data study
- Journal of Machine Learning Research 4 (2003) 339-368 Submitted 11/01; Published 7/03 Fusion of Domain Knowledge with Data for Structural Learning in
- Analysis of OREDA Data for Maintenance Optimisation Langseth, H., Haugen, K., Sandtorv, H.
- Uncertainty Bounds for a Monotone Multistate System Helge Langseth
- Classification using Hierarchical Naive Bayes models Helge Langseth Thomas D. Nielsen
- The Hammersley-Clifford Theorem and its Impact on
- Bayesian Networks in Reliability: Some Recent Developments
- Failure modeling and maintenance optimization for a railway line
- December 19, 2002 13:16 WSPC/Trim Size: 9in x 6in for Review Volume chapter A MAINTENANCE MODEL FOR COMPONENTS EXPOSED
- AALBORG UNIVERSITY Classification using Hierachical
- Analysis of survival times using Bayesian networks Helge Langseth
- Integrating Bayesian Networks into Knowledge-Intensive CBR Agnar Aamodt & Helge Langseth
- Applications of Bayesian Networks in Reliability Analysis Helge Langseth
- Parameter Estimation in Mixtures of Truncated Exponentials Helge Langseth
- Modelling maintenance for components under competing risk Helge Langseth
- Bayesian Networks with Applications in Reliability Analysis
- Bayesian Networks in Reliability Analysis Helge Langseth
- A MAINTENANCE MODEL FOR COMPONENTS EXPOSED TO SEVERAL FAILURE MECHANISMS
- Helge Langseth, Thomas D. Nielsen, Rafael Rumi, and Antonio Salmeron
