Daan Fierens

Publication Activity (10 Years)

Years Active: 2005-2016
Publications (10 Years): 1

Top Topics

Exact Inference

Variable Elimination

Top Venues

AAAI Workshop: Statistical Relational Artificial Intelligence

J. Artif. Intell. Res.

Publications

Gitte Vanwinckelen, Vinicius Tragante do Ó, Daan Fierens, Hendrik Blockeel
Instance-level accuracy versus bag-level accuracy in multi-instance learning. Data Min. Knowl. Discov. 30 (2) (2016)
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory Pract. Log. Program. 15 (3) (2015)
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language. CoRR (2014)
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
On the Completeness of Lifted Variable Elimination. AAAI Workshop: Statistical Relational Artificial Intelligence (2013)
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
Completeness Results for Lifted Variable Elimination. AISTATS (2013)
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language. J. Artif. Intell. Res. 47 (2013)
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
Inference and learning in probabilistic logic programs using weighted Boolean formulas CoRR (2013)
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination with Arbitrary Constraints. AISTATS (2012)
Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov
Pairwise Markov Logic. ILP (2012)
Daan Fierens, Kristian Kersting
From Lifted Inference to Lifted Models. StarAI@UAI (2012)
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
Lifted Variable Elimination: A Novel Operator and Completeness Results CoRR (2012)
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
Inference in Probabilistic Logic Programs using Weighted CNF's CoRR (2012)
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
Inference in Probabilistic Logic Programs using Weighted CNF's. UAI (2011)
Daan Fierens
Improving the Efficiency of Approximate Inference for Probabilistic Logical Models by means of Program Specialization CoRR (2011)
Daan Fierens
On the Use of Combining Rules in Relational Probability Trees. SDM (2010)
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
A comparison of pruning criteria for probability trees. Mach. Learn. 78 (1-2) (2010)
Daan Fierens
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling. ECAI (2010)
Daan Fierens
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization. ICLP (Technical Communications) (2010)
Daan Fierens
On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics. ILP (2009)
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
Generalized ordering-search for learning directed probabilistic logical models. Mach. Learn. 70 (2-3) (2008)
Daan Fierens
Learning directed probabilistic logical models from relational data. AI Commun. 21 (4) (2008)
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Learning directed probabilistic logical models: ordering-search versus structure-search. Ann. Math. Artif. Intell. 54 (1-3) (2008)
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP (2007)
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML (2007)
Jan Ramon, Daan Fierens, Fabian Güiza Grandas, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe
Mining data from intensive care patients. Adv. Eng. Informatics 21 (3) (2007)
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP (2006)
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP (2005)
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. BNAIC (2005)
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
A Comparison of Approaches for Learning Probability Trees. ECML (2005)