An E cient First-Order Horn-Clause Abduction System Based on the ATMS3

Hwee Tou Ng , Raymond J Mooney
Proceedings of the Ninth National Conference on Artificial Intelligence. Anaheim, CA 494 -499

49
1991
Learning to extract proteins and their interactions from medline abstracts

Razvan Bunescu , Ruifang Ge , Rohit J Kate , Raymond J Mooney
Proceedings of the ICML-2003 Workshop on Machine Learning in Bioinformatics 46 -53

47
2003
Online structure learning for markov logic networks

Tuyen N Huynh , Raymond J Mooney
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II 22 81 -96

42
2011
Schema acquisition from one example: Psychological evidence for explanation-based learning

Woo-Kyoung Ahn , Raymond J Mooney , William F Brewer , Gerald F DeJong
Coordinated Science Laboratory Report no. UILU-ENG-87-2231

42
1987
Relational markov networks for collective information extraction

Razvan Bunescu , Raymond J Mooney
ICML-2004 workshop on statistical relational learning

38
2004
Deep just-in-time inconsistency detection between comments and source code

Sheena Panthaplackel , Junyi Jessy Li , Milos Gligoric , Raymond J Mooney
Proceedings of the AAAI Conference on Artificial Intelligence 35 ( 1) 427 -435

35
2021
Using Active Relocation to Aid Reinforcement Learning.

Lilyana Mihalkova , Raymond J Mooney
FLAIRS 580 -585

31
2006
Inductive learning for abductive diagnosis

Cynthia A Thompson , Raymond J Mooney
AAAI 94 664 -669

31
1994
A preliminary PAC analysis of theory revision

Raymond J Mooney
Computational learning theory and natural learning systems 3 43 -53

30
1994
Learning for semantic interpretation: Scaling up without dumbing down

Raymond J Mooney
Springer Berlin Heidelberg 57 -66

25
1999
Inducing logic programs without explicit negative examples

John M Zelle , Cynthia A Thompson , Mary Elaine Califf , Raymond J Mooney
Proceedings of the Fifth International Workshop on Inductive Logic Programming 403 -416

24
1995
Improving VQA and its Explanations by Comparing Competing Explanations

Jialin Wu , Liyan Chen , Raymond J Mooney
arXiv: Computer Vision and Pattern Recognition

15
2020
Learning a policy for opportunistic active learning

Aishwarya Padmakumar , Peter Stone , Raymond J Mooney
arXiv preprint arXiv:1808.10009

23
2018
The role of coherence in constructing and evaluating abductive explanations

Hwee Tou Ng , Raymond J Mooney
Working Notes, AAAI Spring Symposium on Automated Abduction, Stanford, California

23
1990
Scaling up ilp to large examples: Results on link discovery for counter-terrorism

Lappoon R Tang , Raymond J Mooney , Prem Melville
KNOWLEDGE-INTENSIVE, INTERACTIVE AND EFFICIENT RELATIONAL PATTERN LEARNING 36 ( 4.9) 14 -14

22
2006
Learning qualitative models for systems with multiple operating regions

Sowmya Ramachandran , Raymond J Mooney , Benjamin J Kuipers
Proceedings of the 8th International Workshop on Qualitative Reasoning about Physical Systems 212 -223

22
1994
Using lexical knowledge to evaluate the novelty of rules mined from text

Sugato Basu , Raymond J Mooney , Krupakar V Pasupuleti , Joydeep Ghosh
Proceedings of the NAACL workshop and other Lexical Resources: Applications, Extensions and Customizations

21
2001
Qualitative multiple-fault diagnosis of continuous dynamic systems using behavioral modes

Siddarth Subramanian , Raymond J Mooney
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 965 -970

21
1996
Comparative results on using inductive logic programming for corpus-based parser construction

John M Zelle , Raymond J Mooney
Springer Berlin Heidelberg 355 -369

21
1995
Learning the past tense of English verbs using inductive logic programming

Raymond J Mooney , Mary Elaine Califf
Springer Berlin Heidelberg 370 -384

21
1995