Sriraam Natarajan
Cited by
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Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
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
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
Dynamic preferences in multi-criteria reinforcement learning
S Natarajan, P Tadepalli
Proceedings of the 22nd international conference on Machine learning, 601-608, 2005
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73 (3), 289, 2008
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
Speeding Up Inference in Markov Logic Networks by Preprocessing to Reduce the Size of the Resulting Grounded Network.
JW Shavlik, S Natarajan
IJCAI 9, 1951-1956, 2009
Learning first-order probabilistic models with combining rules
S Natarajan, P Tadepalli, TG Dietterich, A Fern
Annals of Mathematics and Artificial Intelligence 54 (1-3), 223-256, 2008
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
A Decision-Theoretic Model of Assistance.
A Fern, S Natarajan, K Judah, P Tadepalli
IJCAI, 1879-1884, 2007
Imitation learning in relational domains: A functional-gradient boosting approach
S Natarajan, S Joshi, P Tadepalli, K Kersting, J Shavlik
IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011
Mixed sum-product networks: A deep architecture for hybrid domains
A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting
Thirty-second AAAI conference on artificial intelligence, 2018
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
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
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
Relational logistic regression
SM Kazemi
University of British Columbia, 2014
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
Obstacle detection and classification using deep learning for tracking in high-speed autonomous driving
G Prabhakar, B Kailath, S Natarajan, R Kumar
2017 IEEE Region 10 Symposium (TENSYMP), 1-6, 2017
Simultaneous dual band laser emission from two conformations of DAMC
V Masilamani, V Chandrasekar, BM Sivaram, B Sivasankar, S Natarajan
Optics communications 59 (3), 203-207, 1986
HMGA2 inhibits apoptosis through interaction with ATR-CHK1 signaling complex in human cancer cells
S Natarajan, S Hombach-Klonisch, P Dröge, T Klonisch
Neoplasia 15 (3), 263-IN13, 2013
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