@article{BiermannS79,
	title = {A Production Rule Mechanism for Generating {LISP} Code},
	author = {Alan W. Biermann and Douglas R. Smith},
	journal = {IEEE Transactions on Systems, Man, and Cybernetics},
	number = {5},
	pages = {260--276},
	url = {http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/21/4310191/04310195.pdf?arnumber=4310195},
	volume = {9},
	year = {1979},
	biburl = {http://www.bibsonomy.org/bibtex/2a7700855604eb3a006252e963eb298f5/emanuel},
	description = {Surveyed in Smith, The Synthesis of LISP programs from Examples: A Survey, 1984},
	abstract = {Production rule schemas are given which hold the basic information necessary for coding recursive loops and branches in LISP. Information from the user concerning the desired program is used to instantiate the schemas to yield production rules, and then these rules generate executable code in a strictly syntactic fashion. Emphasis is placed on decomposing the synthesis problem into a hierarchy of tasks which can each be solved by application of a schema. The method is demonstrated by showing how programs can be synthesized from examples of their input-output behaviors.},
	keywords = {analytical_ip ifp induction inductive_programming program_synthesis }
}

@inproceedings{hayes90construe,
	title = {{CONSTRUE/TIS}: A System for Content-Based Indexing of a Database of News Stories},
	author = {Philip J. Hayes and Steven P. Weinstein},
	booktitle = {Proceedings of the 2nd Conference on Innovative Applications of Artificial Intelligence (IAAI-90), May 1-3, 1990, Washington, DC, USA},
	editor = {Alain T. Rappaport and Reid G. Smith},
	pages = {49--64},
	publisher = {AAAI Press, Chicago, IL, USA},
	url = {http://portal.acm.org/citation.cfm?id=653070},
	year = {1991},
	biburl = {http://www.bibsonomy.org/bibtex/2ec2e67014f388f083f662c4c6d09f7e5/sb3000},
	description = {CONSTRUE/TIS},
	isbn = {0-262-68068-8},
	keywords = {corpus reuters text-classification }
}

@inproceedings{BiermannS77,
	title = {The Hierarchical Synthesis of {LISP} Scanning Programs},
	address = {Amsterdam},
	author = {A. W. Biermann and D. R. Smith},
	booktitle = {Information Processing 77},
	editor = {B. Gilchrist},
	pages = {41--45},
	publisher = {North-Holland Publishing},
	year = {1977},
	biburl = {http://www.bibsonomy.org/bibtex/243cd0ee525772c9fc5502a5900a39849/emanuel},
	description = {Surveyed, amongst others, in Smith, The Synthesis of LISP programs from Examples: A Survey, 1984.},
	keywords = {analytical_ip ifp induction inductive_programming program_synthesis }
}

@article{FrederickGordon_Smith12011957,
	title = {{Decrepitation characteristics of igneous rocks}},
	author = {Frederick Gordon Smith},
	journal = {Can Mineral},
	number = {1},
	pages = {78-86},
	url = {http://www.canmin.org/cgi/content/abstract/6/1/78},
	volume = {6},
	year = {1957},
	biburl = {http://www.bibsonomy.org/bibtex/2916d17e41dcb707014ccfe595b42c1f7/thulefoth},
	description = {Decrepitation characteristics of igneous rocks -- Smith 6 (1): 78 -- The Canadian Mineralogist},
	eprint = {http://www.canmin.org/cgi/reprint/6/1/78.pdf},
	keywords = {CanMin igneous_rocks }
}

@inproceedings{conf/pakdd/SiewCSS08,
	title = {Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient Stability.},
	author = {Eu-Gene Siew and Leonid Churilov and Kate Smith-Miles and Joachim P. Sturmberg},
	booktitle = {PAKDD},
	crossref = {conf/pakdd/2008},
	editor = {Takashi Washio and Einoshin Suzuki and Kai Ming Ting and Akihiro Inokuchi},
	pages = {715-722},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/pakdd/pakdd2008.html#SiewCSS08},
	volume = {5012},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2da42ec541ed3fa52f39f896dcff0511f/dblp},
	description = {dblp},
	date = {2008-05-15}, ee = {http://dx.doi.org/10.1007/978-3-540-68125-0_68}, isbn = {978-3-540-68124-3},
	keywords = {dblp }
}

@inproceedings{conf/icvs/TahirSC08,
	title = {A Novel Feature Selection Based Semi-supervised Method for Image Classification.},
	author = {Muhammad Atif Tahir and James E. Smith and Praminda Caleb-Solly},
	booktitle = {ICVS},
	crossref = {conf/icvs/2008},
	editor = {Antonios Gasteratos and Markus Vincze and John K. Tsotsos},
	pages = {484-493},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/icvs/icvs2008.html#TahirSC08},
	volume = {5008},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2b2efe5099271e7f0744b71c028e7f0bd/dblp},
	description = {dblp},
	date = {2008-05-15}, ee = {http://dx.doi.org/10.1007/978-3-540-79547-6_47}, isbn = {978-3-540-79546-9},
	keywords = {dblp }
}

@inproceedings{conf/icvs/SannenNSTCLE08,
	title = {An On-Line Interactive Self-adaptive Image Classification Framework.},
	author = {Davy Sannen and Marnix Nuttin and Jim Smith and Muhammad Atif Tahir and Praminda Caleb-Solly and Edwin Lughofer and Christian Eitzinger},
	booktitle = {ICVS},
	crossref = {conf/icvs/2008},
	editor = {Antonios Gasteratos and Markus Vincze and John K. Tsotsos},
	pages = {171-180},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/icvs/icvs2008.html#SannenNSTCLE08},
	volume = {5008},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2e4ac62ed4f9d541dc67a82a6eb2c9ca4/dblp},
	description = {dblp},
	date = {2008-05-15}, ee = {http://dx.doi.org/10.1007/978-3-540-79547-6_17}, isbn = {978-3-540-79546-9},
	keywords = {dblp }
}

@inproceedings{conf/icse/KontogiannisLSL08,
	title = {SDSOA 2008: second international workshop on systems development in SOA environments.},
	author = {Kostas Kontogiannis and Grace A. Lewis and Dennis B. Smith and Marin Litoiu},
	booktitle = {ICSE Companion},
	crossref = {conf/icse/2008c},
	editor = { Robby},
	pages = {1047-1048},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/icse/icsec2008.html#KontogiannisLSL08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/29f6890cf8b3335aa0e8c173be48f5a9c/dblp},
	description = {dblp},
	date = {2008-05-15}, ee = {http://doi.acm.org/10.1145/1370175.1370240}, isbn = {978-1-60558-079-1},
	keywords = {dblp }
}

@inproceedings{stvilia2005aiq,
	title = {Assessing information quality of a community-based encyclopedia},
	author = {B. Stvilia and M.B. Twidale and L.C. Smith and L. Gasser},
	booktitle = {Proceedings of the International Conference on Information Quality},
	pages = {442--454},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/242766c70b10104e7f379a7872b409dec/brightbyte},
	keywords = {quality wikipedia }
}

@inproceedings{Wickramasinghe2005,
	title = {Computation of meta-learning classifiers in distributed data mining
	using a novel cognitive memory model},
	author = {Leelani Kumari Wickramasinghe and L. Damminda Alahakoon and Kate A. Smith},
	booktitle = {IEEE/WIC/ACM International Conference on Intelligent Agent Technology},
	month = {September},
	pages = {180--186},
	url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1565534},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/2f72b5073e351aadda221416f3cdfc4db/marcoalvarez},
	abstract = {Distributed Data Mining (DDM) performs partial analysis of data at
	distributed locations and sends a summarized version to the peer
	sites or a central location for further analysis. Meta-learning is
	a technique that generates local classifiers (concepts or models)
	from distributed data sets to use in producing a global classifier.
	This inherently distributed nature of metalearning provides much
	advantage in implementing practical DDM systems. Currently machine
	learning techniques such as supervised neural networks, decision
	trees, rules and genetic algorithms are used in the metalearning
	process. Inspired by the cognitive representation of human memory,
	this paper presents a novel mechanism known as Concept-Episodic Associative
	Memory with a Neighborhood Effect (C-EAMwNE) to compute metaclassifiers.
	C-EAMwNE is an enhanced version of EAMwNE model previously developed
	by the authors which overcomes practical limitations of other existing
	cognitive representations. C-EAMwNE is applied to a multi-agent DDM
	system with learning agents and a central administrator agent. Learning
	agents use CEAMwNE to generate meta-classifiers at distributed data
	sites and communicate them to the central administrator agent (CAA).
	CAA produces a final concept description from the distributed classifiers
	to be used in classification tasks.},
	keywords = {Classification DDM }
}