Daan Fierens

According to our database, Daan Fierens authored at least 23 papers between 2005 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Instance-level accuracy versus bag-level accuracy in multi-instance learning.

Gitte Vanwinckelen, Vinicius Tragante do Ó, Daan Fierens, Hendrik Blockeel

Data Min. Knowl. Discov., 2016

2015

Inference and learning in probabilistic logic programs using weighted Boolean formulas.

Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt

Theory Pract. Log. Program., 2015

2013

Lifted Variable Elimination: Decoupling the Operators from the Constraint Language.

Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel

J. Artif. Intell. Res., 2013

Completeness Results for Lifted Variable Elimination.

Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

On the Completeness of Lifted Variable Elimination.

Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Lifted Variable Elimination with Arbitrary Constraints.

Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Lifted Variable Elimination: A Novel Operator and Completeness Results

Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel

CoRR, 2012

From Lifted Inference to Lifted Models.

Daan Fierens, Kristian Kersting

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Pairwise Markov Logic.

Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov

Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

2011

Improving the Efficiency of Approximate Inference for Probabilistic Logical Models by means of Program Specialization

Daan Fierens

CoRR, 2011

Inference in Probabilistic Logic Programs using Weighted CNF's.

Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt

Proceedings of the UAI 2011, 2011

2010

A comparison of pruning criteria for probability trees.

Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

Mach. Learn., 2010

On the Use of Combining Rules in Relational Probability Trees.

Daan Fierens

Proceedings of the SIAM International Conference on Data Mining, 2010

Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization.

Daan Fierens

Proceedings of the Technical Communications of the 26th International Conference on Logic Programming, 2010

Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling.

Daan Fierens

Proceedings of the ECAI 2010, 2010

2009

On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics.

Daan Fierens

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

2008

Generalized ordering-search for learning directed probabilistic logical models.

Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe

Mach. Learn., 2008

Learning directed probabilistic logical models: ordering-search versus structure-search.

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

Ann. Math. Artif. Intell., 2008

Learning directed probabilistic logical models from relational data.

Daan Fierens

AI Commun., 2008

2007

Mining data from intensive care patients.

Jan Ramon, Daan Fierens, Fabian Güiza Grandas, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe

Adv. Eng. Informatics, 2007

Learning Directed Probabilistic Logical Models Using Ordering-Search.

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

2005

A Comparison of Approaches for Learning Probability Trees.

Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

Proceedings of the Machine Learning: ECML 2005, 2005

Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.

Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon

Proceedings of the BNAIC 2005, 2005