Jude W. Shavlik (Selection)

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122 Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik: Gradient-based boosting for statistical relational learning: The relational dependency network case. Machine Learning 86(1): 25-56 (2012)

121 Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik: Learning Markov Logic Networks via Functional Gradient Boosting. ICDM 2011: 320-329

120 Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI 2011: 1414-1420

111 Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. ECML/PKDD (2) 2010: 434-450

110 Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Multi-Agent Inverse Reinforcement Learning. ICMLA 2010: 395-400

108 Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik: Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP 2010: 253-268

107 Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. Statistical Relational Artificial Intelligence 2010

103 Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik: Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. ICMLA 2009: 141-146

102 Jude W. Shavlik, Sriraam Natarajan: Speeding Up Inference in Markov Logic Networks by Preprocessing to Reduce the Size of the Resulting Grounded Network. IJCAI 2009: 1951-1956

Selection of 9 from 125 records - Jude W. Shavlik has 94 coauthors

Last update 2012-09-10 CET by the DBLP Team —

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122		Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik: Gradient-based boosting for statistical relational learning: The relational dependency network case. Machine Learning 86(1): 25-56 (2012)
121		Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik: Learning Markov Logic Networks via Functional Gradient Boosting. ICDM 2011: 320-329
120		Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI 2011: 1414-1420
111		Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. ECML/PKDD (2) 2010: 434-450
110		Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Multi-Agent Inverse Reinforcement Learning. ICMLA 2010: 395-400
108		Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik: Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP 2010: 253-268
107		Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. Statistical Relational Artificial Intelligence 2010
103		Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik: Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. ICMLA 2009: 141-146
102		Jude W. Shavlik, Sriraam Natarajan: Speeding Up Inference in Markov Logic Networks by Preprocessing to Reduce the Size of the Resulting Grounded Network. IJCAI 2009: 1951-1956