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Topic: Empirical methods

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	Quasi-empirical methods - Wikipedia, the free encyclopedia
		The term "empirical methods" refers to experiment, disclosure of apparatus for reproduction of experiments, and other ways in which science is validated by scientists.
		Empirical methods are studied extensively in the philosophy of science but cannot be used directly in fields whose hypotheses are not invalidated by real experiment (mathematics, theology, ideology).
		In these fields, the prefix 'quasi' came to denote methods that are "almost" or "socially approximate" an ideal of truly empirical methods.
	en.wikipedia.org /wiki/Quasi-empirical_methods (353 words)

	Empirical Design Methods -UBC Geomechanics
		Empirical methods assess the stability of structures by the use of past practices to predict future behaviour based upon factors most critical towards the design.
		Empirical derivations have gained acceptance over the last fifteen years largely due to their predictive capability since conventional methods of assessment have the difficulty of identifying the jointed mature of the rock material, assigning properties thereto and establishing input parameters for subsequent numerical evaluation.
		The methods of design are based upon a strong analytical foundation coupled with extensive field observations to arrive at a calibrated empirical approach towards the solution to a given problem.
	www.mining.ubc.ca /rock/publications/Empirical.html (3855 words)

	AI Magazine: Empirical methods in AI - artificial intelligence (Site not responding. Last check: 2007-11-07)
		The debate during the workshop can broadly be divided into three categories: (1) past successes of empirical methods, (2) the design of computational experiments, and (3) the widespread use of random problems.
		First, empirical studies are often an integral part of Al because systems can be too complex or messy for theory.
		She argued that experimental methods are an important tool in the analysis of complicated computational systems and can reveal behaviors that are not easily predicted.
	www.findarticles.com /p/articles/mi_m2483/is_n2_v19/ai_20914135 (1257 words)

	Empirical methods for exploiting parallel texts.
		The acquisition process is invariably based on automatic methods for inducing translational equivalence relations between the two halves of a bitext.
		This dissertation advances the state of the art in methods for determining both kinds of translational equivalence.
		The dissertation presents new methods for maximizing the signal strength, for filtering noise, and for searching the resulting scatterplot in linear expected space and time.
	repository.upenn.edu /dissertations/AAI9829948 (357 words)

	Empirical Methods for Artificial Intelligence (Site not responding. Last check: 2007-11-07)
		This new text is the first to present a wide range of empirical methods for AI research.
		The blunt interrogation of statistical hypothesis testing is postponed until chapters 4 and 5, which present classical parametric methods and computer-intensive (Monte Carlo) resampling methods, respectively.
		Much of the book is devoted to research strategies and tactics, introducing new methods in the context of case studies.
	eksl-www.cs.umass.edu /emai.html (269 words)

	Empirical Methods in Discourse: Interpretation & Generation (Site not responding. Last check: 2007-11-07)
		This symposium aims to investigate empirical methods that can be used in the development and evaluation of computational theories of discourse, and develop a set of shared resources for the computational discourse community.
		Applications and extensions of methods used in traditionally empirical disciplines (such as, psychology or sociolinguistics) to computational theories of discourse.
		Empirical analyses that distinguish between claims made by different discourse theories.
	www.aaai.org /Press/Reports/Symposia/Spring/ss-95-06.html (467 words)

	ECAI-2000 Workshop "Empirical Methods in Artificial Intelligence"
		Thus empirical methods for analysing and comparing systems and techniques are of considerable interest to many AI researchers.
		While experimental approaches are well established and have reached a high level of sophistication in other sciences, like physics and biology, the types of empirical analysis done in AI often are often rather rudimentary.
		This half-day workshop is organised by Holger H. Hoos and Thomas Stützle; it is co-ordinated with the ECAI-2000 Tutorial "Stochastic Search Algorithms" (presented by Holger H. Hoos and Thomas Stützle) and the ECAI-2000 Tutorial "Empirical Methods for Computer Science" (presented by Paul Cohen, Ian Gent, and Toby Walsh).
	www.cs.ubc.ca /~hoos/ecai2000-empai (457 words)

	Previous Empirical Methods
		26] presented in 1985 the results of the first empirical attacks on general subset sum problems.
		Their method was to apply a multiprecision version of the LLL algorithm to the basis L presented in Section 3.2 above (
		Radziszowski and Kreher's results show however that it is possible to increase the effective range of LLL by combining it with other heuristic techniques.
	www.farcaster.com /papers/sm-thesis/node31.html (770 words)

	ECM1020 - EMPIRICAL METHODS IN FINANCE
		Building from basic principles in finance and statistics we will discuss the practical application, both in the interpretation of empirical results in finance and the use of computers to estimate original models.
		The module will cover conceptual and practical material enabling students to both critically evaluate the empirical research of other authors and to conduct their own analyses.
		From essential foundations discussed in semester 1 the module progresses to an advanced level study of econometrics.
	www.aber.ac.uk /modules/current/ECM1020.html (135 words)

	EMPIRICAL METHODS AND PROJECT EVALUATION (Site not responding. Last check: 2007-11-07)
		The empirical methods and project evaluation concentration is for those preparing to be more sophisticated consumers and producers of statistical evidence.
		In this concentration, students will develop their knowledge of the range of empirical strategies for "controlling for" other factors when trying to identify the effect of a particular policy.
		Please note that API-201, 202, and 205 (the Kennedy School’s basic introductory courses in empirical methods) are not on the list of qualifying courses.
	www.ksg.harvard.edu /MAC/EmpMeths.htm (305 words)

	Empirical Methods in CS and AI (Site not responding. Last check: 2007-11-07)
		Empirical Methods in CS and AI Empirical Methods in CS and AI collected by
		"An Empirical Study of Dynamic Scheduling on Rings of Processors".
		Empirical Methods for Artificial Intelligence, Paul Cohen, MIT Press.
	www-users.cs.york.ac.uk /~tw/empirical.html (275 words)

	[20040901] EMPIRICAL METHODS AND STUDIES IN SOFTWARE ENGINEERING (Site not responding. Last check: 2007-11-07)
		For various reasons, systematic empirical studies employing strictly scientific methods are hardly practiced in software engineering.
		Thus there is an unquestioned need for developing improved and better-qualified empirical methods, for their application in practice and for dissemination of the results.
		This book describes different kinds of empirical studies and methods for performing such studies, e.g., for planning, performing, analyzing, and reporting such studies.
	paris.ticmundi.com /3-540-40672-7.html (162 words)

	Empirical Methods links
		Börsch, S. (1986), Introspective methods in research on interlingual and intercultural communication.
		Grotjahn, R. (1987), On the methodological basis of introspective methods.
		Turnbull, W. (2001), An appraisal of pragmatic elicitation techniques for the social psychological study of talk: The case of request refusals.
	www.uni-bonn.de /~upp20010/Method/Method_links.html (496 words)

	EKSL Research: Empirical Methods (Site not responding. Last check: 2007-11-07)
		In Cohen 1995, Empirical Methods for Artificial Intelligence we describe the modeling, analysis and design methodology and the on-line laboratory we have developed for its use.
		This graduate level text in empirical methods for AI provides many illustrative case studies of this methodology applied both in our work and in other research efforts.
		A Textbook on Empirical Methods for Artificial Intelligence, Table of Contents
	eksl-www.cs.umass.edu /research/empirical-methods.html (316 words)

	Energy Citations Database (ECD) - Energy and Energy-Related Bibliographic Citations (Site not responding. Last check: 2007-11-07)
		Energy Citations Database (ECD) Document #4137259 - Empirical methods of using soils as radiation dosimeters
		Availability information may be found in the Availability, Publisher, Research Organization, Resource Relation and/or Author (affiliation information) fields and/or via the "Full-text Availability" link.
		Empirical methods of using soils as radiation dosimeters
	www.osti.gov /energycitations/product.biblio.jsp?osti_id=4137259 (82 words)

	empirical methods - OneLook Dictionary Search (Site not responding. Last check: 2007-11-07)
		We found one dictionary with English definitions that includes the word empirical methods:
		Tip: Click on the first link on a line below to go directly to a page where "empirical methods" is defined.
		Phrases that include empirical methods: quasi empirical methods
	onelook.com /cgi-bin/cgiwrap/bware/dofind.cgi?word=empirical+methods (79 words)

	Empirical Methods in Information Extraction - Cardie (ResearchIndex) (Site not responding. Last check: 2007-11-07)
		Abstract: this article surveys the use of empirical methods for a particular natural language understanding task that is inherently domain-specific.
		Very generally, an information extraction system takes as input an unrestricted text and "summarizes" the text with respect to a prespecified topic or domain of interest: it finds useful information about the domain and encodes that information in a structured form, suitable for populating databases.
		A number of machine learning methods, including grammar induction, hidden Markov models, inductive logic programming, naive Bayes text...
	citeseer.ist.psu.edu /cardie97empirical.html (611 words)

	Empirical Methods in Natural Language Processing (Site not responding. Last check: 2007-11-07)
		Corpus-based and empirical methods in NLP have been a major trend in recent years.
		However, there will be a special session in the conference to include corpus-based and/or empirical work in all areas of natural language processing.
		The submission format and word limit are the same as those for ACL this year.
	www.cs.jhu.edu /~yarowsky/emnlp.vlc99.html (495 words)

	Empirical Methods for Compound Splitting (ResearchIndex) (Site not responding. Last check: 2007-11-07)
		Abstract: Compounded words are a challenge for NLP applications such as machine translation (MT).
		We introduce methods to learn splitting rules from monolingual and parallel corpora.
		We evaluate them against a gold standard and measure their impact on performance of statistical MT systems.
	citeseer.ist.psu.edu /573890.html (149 words)

	No match for empirical methods (Site not responding. Last check: 2007-11-07)
		Sorry, the term empirical methods is not in the dictionary.
		Nearby terms: emotivism « Empedocles « empirical « empiricism » empiricist » emulation » emulator
		Last modified: Sat Feb 17 16:22:35 GMT 2001
	lgxserver.uniba.it /lei/foldop/foldoc.cgi?empirical+methods (44 words)

	CSTC - Computer Science Teaching Center (Site not responding. Last check: 2007-11-07)
		These materials were presented in a panel at SIGCSE 2002.
		The central theme of the panel was to emphasize the importance of empirical methods in computer science and to present ideas and examples for integrating the development of empirical skills within the CS curriculum.
		Panel Participants: David Reed, Doug Baldwin, Michael Clancy, Stuart Hansen, and Allen Downey.
	www.cstc.org /cgi-bin/show_abstract.pl?type=official&number=252 (170 words)

	Usability First: Usability Glossary: empirical methods
		any of a large number of methods which are based on measurement -- in user interface design, this usually means measuring the activities of people as they use computer systems.
		This specifically does not include theoretical methods, analytic methods, usability inspection, prototyping, and graphic design methods.
		Glossary Categories > Usability Methods > Empirical Methods
	usabilityfirst.com /glossary/main.cgi?function=display_term&term_id=452 (87 words)

	CmpE 591 Empirical Methods (Site not responding. Last check: 2007-11-07)
		In this course we discuss empirical methods for experiment design and statistical analysis.
		Paul R. Cohen, Empirical Methods for Artificial Intelligence, The MIT Press, 1995 and extra material (see below)
		Alp: Adams, Hand "Improving the practice of classifier performance assessment" Neural Computation 2000, Salzberg, "On comparing classifiers: A critique of current research and methods" Data Mining and Knowledge Discovery
	www.cmpe.boun.edu.tr /~ethem/CmpE591.html (163 words)

	eBay - Empirical Methods for Evaluating Educational Inter... items on eBay.com (Site not responding. Last check: 2007-11-07)
		eBay - Empirical Methods for Evaluating Educational Inter...
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	product.ebay.com /Empirical-Methods-for-Evaluating-Educational-Inter... (120 words)

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