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John M. Aronis:
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Publications of Author
- John M. Aronis, Foster J. Provost
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning. [Citation Graph (1, 0)][DBLP] KDD Workshop, 1994, pp:347-358 [Conf]
- John M. Aronis, Foster J. Provost
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation. [Citation Graph (1, 0)][DBLP] KDD, 1997, pp:119-122 [Conf]
- John M. Aronis, Foster J. Provost, Bruce G. Buchanan
Exploiting Background Knowledge in Automated Discovery. [Citation Graph (0, 0)][DBLP] KDD, 1996, pp:355-358 [Conf]
- Sandra Katz, John M. Aronis, David Allbritton, Christine Wilson, Mary Lou Soffa
A study to identify predictors of achievement in an introductory computer science course. [Citation Graph (0, 0)][DBLP] CPR, 2003, pp:157-161 [Conf]
- Richmond H. Thomason, John M. Aronis
Hybridizing Nonmonotonic Inheritance with Theorem Proving. [Citation Graph (0, 0)][DBLP] Ann. Math. Artif. Intell., 1992, v:6, n:4, pp:345-365 [Journal]
- Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes
An evaluation of machine-learning methods for predicting pneumonia mortality. [Citation Graph (0, 0)][DBLP] Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
- Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell
Predicting dire outcomes of patients with community acquired pneumonia. [Citation Graph (0, 0)][DBLP] Journal of Biomedical Informatics, 2005, v:38, n:5, pp:347-366 [Journal]
- Sandra Katz, John M. Aronis, Colin Creitz
Modeling pedagogical interactions with machine learning. [Citation Graph (0, 0)][DBLP] Kognitionswissenschaft, 2000, v:9, n:1, pp:45-49 [Journal]
- Yongwon Lee, Bruce G. Buchanan, John M. Aronis
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity. [Citation Graph (0, 0)][DBLP] Machine Learning, 1998, v:30, n:2-3, pp:217-240 [Journal]
- Foster J. Provost, John M. Aronis
Scaling Up Inductive Learning with Massive Parallelism. [Citation Graph (0, 0)][DBLP] Machine Learning, 1996, v:23, n:1, pp:33-46 [Journal]
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