Jens Dalgaard Nielsens publications

Journal publications

1. Antonio Fernández, Jens D. Nielsen and Antonio Salmerón (2010): Learning Bayesian Networks for Regression from Incomplete Databases.International Joournal of Uncertainty, Fuzziness and Knowledge-Based Systems. 18: pages 69-86
   • Published article
2. Jens D. Nielsen, Rafael Rumí and Antonio Salmerón (2010): Structural-EM for Learning PDG Models from Incomplete Data. International Journal of Approximate Reasoning 51:pages 515-530
   • Published article.
3. Jens D. Nielsen, Rafael Rumí and Antonio Salmerón (2009): Supervised Classification Using Probabilistic Decision Graphs. Computational Statistics and Data Analysis 53:pages 1299-1311
   
   • Published article.
4. Manfred Jaeger, Jens D. Nielsen and Tomi Silander (2006): Learning Probabilistic Decision Graphs. International Journal of Approximate Reasoning 42:pages 84-100
   
   • Published article.

Peer reviewed Conference and Workshop Proceedings

1. Jens D. Nielsen and Antonio Salmerón (2010): The Conditional Gausian PDG model In: Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference (FLAIRS 2010). pp. 549--554.
2. M. Julia Flores, José A. Gámez and Jens D. Nielsen (2009): The PDG-mixture model for clustering. In Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009). pp. 378--389.
3. Jens D. Nielsen, Rafael Rumí and Antonio Salmerón (2008): Structural-EM for Learning PDG Models from Incomplete Data.In Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. pp. 217--224.
   
4. Antonio Fernández, Jens D. Nielsen and Antonio Salmerón (2008): Learning naive Bayes regression models with missing data using mixtures of truncated exponentials.In Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. pp. 105--112.
5. Jens D. Nielsen and Manfred Jaeger (2006): An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models. Proceedings of the 3rd European workshop on Probabilistic Graphical Models. pp. 215--222.
   
6. Manfred Jaeger, Jens D. Nielsen, Tomi Silander (2004): Learning Probabilistic Decision Graphs. In: Proceedings of the second European workshop on probabilistic graphical models pp.113-120.
7. Jose M. Peña, Tomáš Kocka and Jens D. Nielsen (2004): Featuring Multiple Local Optima to Assist the User in the Interpretation of Induced Bayesian Network Models. In: Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. pp. 1683-1690.
8. Jens D. Nielsen, Tomáš Kočka, and Jose M. Peña (2003): On Local Optima in Learning Bayesian Networks. In: Proceedings of the 19th Conference on Uncertainty in Artificial Intelligence. pp. 435-442.

Doctoral disertation

• Jens D. Nielsen (2007): On Unsupervised Learning of Probabilistic Graphical Models. Department of Computer Science, Aalborg University, Denmark. Defended on May 16, 2007.
  

Other publications

• Jens D. Nielsen, Rafael Rumí and Antonio Salmerón: El clasificador Grafo de Decisión Probabilístico. Presented at: XXX Congreso Nacional de Estadística e Investigación Operativa, Valladolid, 2007