Nima Taghipour
Nima Taghipour
Postdoctoral Researcher, KU Leuven
Verified email at
Cited by
Cited by
Lifted probabilistic inference by first-order knowledge compilation
G Van den Broeck, N Taghipour, W Meert, J Davis, L De Raedt
Proceedings of the Twenty-Second international joint conference on …, 2011
Usage-based web recommendations: a reinforcement learning approach
N Taghipour, A Kardan, SS Ghidary
Proceedings of the 2007 ACM conference on Recommender systems, 113-120, 2007
A hybrid web recommender system based on q-learning
N Taghipour, A Kardan
Proceedings of the 2008 ACM symposium on Applied computing, 1164-1168, 2008
Lifted variable elimination: Decoupling the operators from the constraint language
N Taghipour, D Fierens, J Davis, H Blockeel
The Journal of Artificial Intelligence Research, 2013
Lifted Variable Elimination with Arbitrary Constraints.
N Taghipour, D Fierens, J Davis, H Blockeel
AISTATS, 1194-1202, 2012
Completeness results for lifted variable elimination
N Taghipour, D Fierens, G Van den Broeck, J Davis, H Blockeel
Proceedings of the Sixteenth International Conference on Artificial …, 2013
First-Order Decomposition Trees
N Taghipour, J Davis, H Blockeel
Annual Conference on Neural Information Processing Systems (NIPS), 2013
First-order Bayes-ball
W Meert, N Taghipour, H Blockeel
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
Generalized counting for lifted variable elimination
N Taghipour, J Davis
Proceedings of the Second International Workshop on Statistical Relational …, 2012
First-order Bayes-ball for CP-Logic
N Taghipour, W Meert, J Struyf, H Blockeel
International Workshop on Statistical Relational Learning 2009, 1-3, 2009
Lifted Variable Elimination: A Novel Operator and Completeness Results
N Taghipour, D Fierens, GV Broeck, J Davis, H Blockeel
arXiv preprint arXiv:1208.3809, 2012
Using Q-Learning for Web Recommendations from Web Usage Data
N Taghipour, SS Ghidary, A Kardan
Decision Support Models for Personalized Course Composition with a Focus on Learning Styles
A Kardan, N Taghipour
Information Technology: New Generations, 2008. ITNG 2008. Fifth …, 2008
On the Completeness of Lifted Variable Elimination.
N Taghipour, D Fierens, G Van den Broeck, J Davis, H Blockeel
AAAI Workshop: Statistical Relational Artificial Intelligence, 2013
Lifted inference for probabilistic programming
W Meert, G Van den Broeck, N Taghipour, D Fierens, H Blockeel, J Davis, ...
Proceedings of the NIPS Probabilistic Programming Workshop, 2012
Probabilistic logical learning for biclustering: A case study with surprising results
N Taghipour, D Fierens, H Blockeel
Department of Computer Science, KU Leuven, 2010
Enhancing a Web Recommender System based on Q Learning.
N Taghipour, AA Kardan
LWA, 21-28, 2007
Lifted Probabilistic Inference by Variable Elimination (Gelifte probabilistische inferentie door variabele eliminatie)
N Taghipour
Recent advances in lifted inference at Leuven
H Blockeel, J Davis, L De Raedt, D Fierens, W Meert, N Taghipour, ...
Biclustering of gene expression data using probabilistic logic learning
N Taghipour, D Fierens, H Blockeel
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