Suivre
Sriraam Natarajan
Titre
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Année
Statistical relational artificial intelligence: Logic, probability, and computation
LD Raedt, K Kersting, S Natarajan, D Poole
Synthesis lectures on artificial intelligence and machine learning 10 (2), 1-189, 2016
2502016
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
1832012
Gradient-based boosting for statistical relational learning: The relational dependency network case
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Machine Learning 86 (1), 25-56, 2012
1642012
Dynamic preferences in multi-criteria reinforcement learning
S Natarajan, P Tadepalli
Proceedings of the 22nd international conference on Machine learning, 601-608, 2005
1492005
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73 (3), 289-312, 2008
1222008
Learning markov logic networks via functional gradient boosting
T Khot, S Natarajan, K Kersting, J Shavlik
2011 IEEE 11th international conference on data mining, 320-329, 2011
1152011
Learning first-order probabilistic models with combining rules
S Natarajan, P Tadepalli, TG Dietterich, A Fern
Annals of Mathematics and Artificial Intelligence 54 (1), 223-256, 2008
972008
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach
S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan
Knowledge-Based Systems 136, 37-45, 2017
952017
Speeding up inference in Markov logic networks by preprocessing to reduce the size of the resulting grounded network
J Shavlik, S Natarajan
Twenty-First International Joint Conference on Artificial Intelligence, 2009
902009
Mixed sum-product networks: A deep architecture for hybrid domains
A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
872018
Exploiting symmetries for scaling loopy belief propagation and relational training
B Ahmadi, K Kersting, M Mladenov, S Natarajan
Machine learning 92 (1), 91-132, 2013
852013
Multi-agent inverse reinforcement learning
S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik
2010 Ninth International Conference on Machine Learning and Applications …, 2010
822010
Machine learning for personalized medicine: predicting primary myocardial infarction from electronic health records
JC Weiss, S Natarajan, PL Peissig, CA McCarty, D Page
Ai Magazine 33 (4), 33-33, 2012
762012
A Decision-Theoretic Model of Assistance.
A Fern, S Natarajan, K Judah, P Tadepalli
IJCAI, 1879-1884, 2007
742007
Imitation learning in relational domains: A functional-gradient boosting approach
S Natarajan, S Joshi, P Tadepalli, K Kersting, J Shavlik
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
692011
Logical hierarchical hidden markov models for modeling user activities
S Natarajan, HH Bui, P Tadepalli, K Kersting, WK Wong
International Conference on Inductive Logic Programming, 192-209, 2008
542008
Relational logistic regression
SM Kazemi, D Buchman, K Kersting, S Natarajan, D Poole
Fourteenth International Conference on the Principles of Knowledge …, 2014
522014
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
T Khot, S Natarajan, K Kersting, J Shavlik
Machine Learning 100 (1), 75-100, 2015
422015
A decision-theoretic model of assistance
A Fern, S Natarajan, K Judah, P Tadepalli
Journal of Artificial Intelligence Research 50, 71-104, 2014
422014
Guiding autonomous agents to better behaviors through human advice
G Kunapuli, P Odom, JW Shavlik, S Natarajan
2013 IEEE 13th international conference on data mining, 409-418, 2013
402013
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