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Sriraam Natarajan
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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
3412016
Dynamic preferences in multi-criteria reinforcement learning
S Natarajan, P Tadepalli
Proceedings of the 22nd international conference on Machine learning, 601-608, 2005
1922005
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
1912012
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, 25-56, 2012
1852012
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
1472017
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73, 289-312, 2008
1312008
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
1302011
A decision-theoretic model of assistance
A Fern, S Natarajan, K Judah, P Tadepalli
Journal of Artificial Intelligence Research 50, 71-104, 2014
1282014
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
1192018
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
1182010
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
1032012
Learning first-order probabilistic models with combining rules
S Natarajan, P Tadepalli, E Altendorf, TG Dietterich, A Fern, A Restificar
Proceedings of the 22nd international conference on Machine learning, 609-616, 2005
1032005
Exploiting symmetries for scaling loopy belief propagation and relational training
B Ahmadi, K Kersting, M Mladenov, S Natarajan
Machine learning 92, 91-132, 2013
942013
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
912009
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
752011
Relational logistic regression
SM Kazemi, D Buchman, K Kersting, S Natarajan, D Poole
Fourteenth International Conference on the Principles of Knowledge …, 2014
632014
Logical hierarchical hidden markov models for modeling user activities
S Natarajan, HH Bui, P Tadepalli, K Kersting, WK Wong
Inductive Logic Programming: 18th International Conference, ILP 2008 Prague …, 2008
562008
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, 75-100, 2015
532015
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
472013
Poisson sum-product networks: A deep architecture for tractable multivariate poisson distributions
A Molina, S Natarajan, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
462017
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Artikelen 1–20