Daan Fierens

30 papers A 5B 5Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2016 J jnl
Instance-level accuracy versus bag-level accuracy in multi-instance learning.
Data Min. Knowl. Discov.
Gitte Vanwinckelen, Vinicius Tragante do Ó, Daan Fierens, Hendrik Blockeel
2015 J jnl
Inference and learning in probabilistic logic programs using weighted Boolean formulas.
Theory Pract. Log. Program.
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
2014 J jnl
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language.
CoRR
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2013 A conf
Completeness Results for Lifted Variable Elimination.
AISTATS
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2013 J jnl
Inference and learning in probabilistic logic programs using weighted Boolean formulas
CoRR
Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
2013 J jnl
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language.
J. Artif. Intell. Res.
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2013 — conf
On the Completeness of Lifted Variable Elimination.
StarAI@AAAI
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2012 — conf
From Lifted Inference to Lifted Models.
StarAI@UAI
Daan Fierens, Kristian Kersting
2012 J jnl
Inference in Probabilistic Logic Programs using Weighted CNF's
CoRR
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2012 A conf
Lifted Variable Elimination with Arbitrary Constraints.
AISTATS
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2012 J jnl
Lifted Variable Elimination: A Novel Operator and Completeness Results
CoRR
Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2012 B conf
Pairwise Markov Logic.
ILP
Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov
2011 J jnl
Improving the Efficiency of Approximate Inference for Probabilistic Logical Models by means of Program Specialization
CoRR
Daan Fierens
2011 A conf
Inference in Probabilistic Logic Programs using Weighted CNF's.
UAI
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2010 J jnl
A comparison of pruning criteria for probability trees.
Mach. Learn.
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
2010 A conf
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling.
ECAI
Daan Fierens
2010 — conf
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization.
ICLP (Technical Communications)
Daan Fierens
2010 A conf
On the Use of Combining Rules in Relational Probability Trees.
SDM
Daan Fierens
2009 — conf
An Exercise with Statistical Relational Learning Systems.
MLG/SRL@ILP
Maurice Bruynooghe, Daan Fierens, Bernd Gutmann, Angelika Kimmig, Niels Landwehr, Wannes Meert, Ingo Thon, Luc De Raedt
2009 B conf
On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics.
ILP
Daan Fierens
2008 J jnl
Generalized ordering-search for learning directed probabilistic logical models.
Mach. Learn.
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
2008 J jnl
Learning directed probabilistic logical models from relational data.
AI Commun.
Daan Fierens
2008 J jnl
Learning directed probabilistic logical models: ordering-search versus structure-search.
Ann. Math. Artif. Intell.
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2007 B conf
Learning Directed Probabilistic Logical Models Using Ordering-Search.
ILP
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2007 — conf
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search.
ECML
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2007 J jnl
Mining data from intensive care patients.
Adv. Eng. Informatics
Jan Ramon, Daan Fierens, Fabian Güiza Grandas, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe
2006 B conf
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models.
ILP
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
2005 — conf
A Comparison of Approaches for Learning Probability Trees.
ECML
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
2005 — conf
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.
BNAIC
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
2005 B conf
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.
ILP
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon