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 | 239 | 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 | 141 | 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 | 108 | 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 | 82 | 2013 |
Completeness results for lifted variable elimination N Taghipour, D Fierens, G Van den Broeck, J Davis, H Blockeel Artificial Intelligence and Statistics, 572-580, 2013 | 35 | 2013 |
Lifted variable elimination with arbitrary constraints N Taghipour, D Fierens, J Davis, H Blockeel Artificial Intelligence and Statistics, 1194-1202, 2012 | 30 | 2012 |
First-Order Decomposition Trees N Taghipour, J Davis, H Blockeel Annual Conference on Neural Information Processing Systems (NIPS), 2013 | 22 | 2013 |
Generalized counting for lifted variable elimination N Taghipour, J Davis Proceedings of the Second International Workshop on Statistical Relational …, 2012 | 19 | 2012 |
Lifted probabilistic inference by variable elimination N Taghipour Ph. D. Thesis, KU Leuven, 2013 | 16 | 2013 |
First-order Bayes-ball W Meert, N Taghipour, H Blockeel Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010 | 12 | 2010 |
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 | 7 | 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 | 3 | 2012 |
Decision support models for personalized course composition with a focus on learning styles A Kardan, N Taghipour Fifth International Conference on Information Technology: New Generations …, 2008 | 3 | 2008 |
Using Q-Learning for Web Recommendations from Web Usage Data N Taghipour, SS Ghidary, A Kardan | 3* | |
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 | 2 | 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 | 1 | 2012 |
Probabilistic logical learning for biclustering: A case study with surprising results N Taghipour, D Fierens, H Blockeel CW Reports CW597, Department of Computer Science, KU Leuven (October 2010), 2010 | 1 | 2010 |
Enhancing a Web Recommender System based on Q Learning. N Taghipour, AA Kardan LWA, 21-28, 2007 | 1 | 2007 |
Lifted Probabilistic Inference by Variable Elimination (Gelifte probabilistische inferentie door variabele eliminatie) N Taghipour | | 2013 |
Recent advances in lifted inference at Leuven H Blockeel, J Davis, L De Raedt, D Fierens, W Meert, N Taghipour, ... Spring Workshop on Mining and Learning, Date: 2012/04/18-2012/04/20 …, 2012 | | 2012 |