Discovering Laws as Anomalies in Logical Worlds

Discovering Laws as Anomalies in Logical Worlds (2006)

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by Proshanto Mukherji

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@MISC{Mukherji06discoveringlaws,
    author = {Proshanto Mukherji},
    title = {Discovering Laws as Anomalies in Logical Worlds},
    year = {2006}
}

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Abstract

Citations

5666	Probabilistic reasoning in intelligent systems - Pearl - 1988
3909	Neural Networks for Pattern Recognition - Bishop - 1995
2888	Induction of Decision Trees - Quinlan - 1986
2726	The self-organizing map - Kohonen - 1990
2716	Neural networks: A comprehensive foundation - Haykin - 1994
1953	Mining association rules between sets of items in large databases - Agrawal, Imielinski, et al. - 1993
1191	Reasoning about knowledge - Fagin, Halpern, et al. - 1995
1134	Reinforcement learning: a survey - Kaelbling, Littman, et al. - 1996
962	Efficient induction of logic programs - Muggleton, Feng - 1990
852	Fast planning through planning graph analysis - Blum, Furst - 1997
829	A Machine–oriented Logic Based on the Resolution Principle - Robinson - 1965
784	Learning logical definitions from relations - Quinlan - 1989
649	Reinforcement learning - Sutton, Barto - 1998
560	Inverse entailment and progol - Muggleton - 1995
467	Dynamically discovering likely program invariants to support program evolution - Ernst, Cockrell, et al. - 2001
463	Pushing the envelope: Planning, propositional logic, and stochastic search - KAUTZ, SELMAN - 1996
428	A note on inductive generalization - Plotkin - 1970
421	Learning probabilistic relational models - Friedman, Getoor, et al. - 1999
408	Raedt. Inductive logic programming: Theory and methods - Muggleton, de - 1994
381	UCPOP: A sound, complete, partial order planner for ADL - Penberthy, Weld - 1992
362	Planning as satisfiability - Kautz, Selman - 1992
355	Probabilistic logic - Nilsson - 1986
341	Integrating Classification and Association Rule Mining - Liu
337	Y.: Discovery of multiple-level association rules from large databases - Han, Fu - 1995
335	Supervised and unsupervised discretization of continuous features - Dougherty, Kohavi, et al. - 1995
304	R.: Mining quantitative association rules in large relational tables - Srikant, Agrawal - 1996
302	C: Knowledge Discovery in Databases: An Overview - Frawley, Piatetsky-Shapiro, et al.
286	Inductive inference: Theory and methods - ANGLUIN, SMITH - 1983
247	Tracking down software bugs using automatic anomaly detection - Hangal, Lam - 2002
245	Bugs as Deviant Behavior: A General Approach to Inferring Errors in Systems Code - Engler, Chen, et al. - 2001
225	Representing Reasoning with Probabilistic Knowledge - Bacchus - 1990
192	What makes patterns interesting in knowledge discovery systems - Silberschatz, Tuzhilin - 1996
181	A logic for reasoning about probabilities - Fagin, Halpern, et al. - 1990
171	Autoepistemic Logic - Marek, Truszczynski - 1991
170	Clausal discovery - Raedt, Dehaspe - 1997
168	Probabilistic frame-based systems - Koller, Pfeffer - 1998
162	Machine invention of first-order predicates by inverting resolution - Muggleton, Buntine - 1988
140	The utility of knowledge in inductive learning - Pazzani, Kibler - 1992
135	Chimerge: Discretization of numeric attributes - Kerber - 1992
127	Reasoning about knowledge and probability - Fagin, Halpern - 1994
123	Introduction to Mathematical Statistics - Hogg, Allen, et al. - 2004
121	On subjective measures of interestingness in knowledge discovery - Silberschatz, Tuzhilin - 1995
106	An Introduction to Neural Networks - Anderson - 1999
106	Quickly detecting relevant program invariants - Ernst, Czeisler, et al. - 2000
102	The automatic inference of state invariants in TIM - Fox, Long - 1998
101	Recent advances in AI planning - Weld - 1999
96	Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase - RD, Muggleton, et al. - 1992
95	Controlling the complexity of learning in logic through syntactic and task-oriented models - Kietz, Wrobel - 1992
91	Learning concepts by asking questions - Sammut, Banerji - 1986
89	Propositionalization approaches to relational data mining - Kramer, Lavrac, et al. - 2001