Sriraam Natarajan
Cited by
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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
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
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
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
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
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
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
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
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
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
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
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
Relational logistic regression
SM Kazemi
University of British Columbia, 2014
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
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
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
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