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DO SCIENTISTS PAY TO BE SCIENTISTS?

by Scott Stern , 1999
"... ..."
Abstract - Cited by 129 (4 self) - Add to MetaCart
Abstract not found

What Every Computer Scientist Should Know About Floating-Point Arithmetic

by David Goldberg , 1991
"... ..."
Abstract - Cited by 494 (0 self) - Add to MetaCart
Abstract not found

Dynamic topic models

by David M. Blei, John D. Lafferty - In ICML , 2006
"... Scientists need new tools to explore and browse large collections of scholarly literature. Thanks to organizations such as JSTOR, which scan and index the original bound archives of many journals, modern scientists can search digital libraries spanning hundreds of years. A scientist, suddenly ..."
Abstract - Cited by 681 (29 self) - Add to MetaCart
Scientists need new tools to explore and browse large collections of scholarly literature. Thanks to organizations such as JSTOR, which scan and index the original bound archives of many journals, modern scientists can search digital libraries spanning hundreds of years. A scientist, suddenly

Making the most of statistical analyses: Improving interpretation and presentation

by Gary King, Michael Tomz, Jason Wittenberg - American Journal of Political Science , 2000
"... Social scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research and express the appropriate degree of certainty about these quantities. ..."
Abstract - Cited by 600 (26 self) - Add to MetaCart
Social scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research and express the appropriate degree of certainty about these quantities

Rough Sets.

by Zdzis Law Pawlak , George Allen , Unwin , ; W W London , New Norton , York - Int. J. of Information and Computer Sciences , 1982
"... Abstract. This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty -concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers particular ..."
Abstract - Cited by 793 (13 self) - Add to MetaCart
Abstract. This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty -concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers

Assessing agreement on classification tasks: the kappa statistic

by Jean Carletta - Computational Linguistics , 1996
"... Currently, computational linguists and cognitive scientists working in the area of discourse and dialogue argue that their subjective judgments are reliable using several different statistics, none of which are easily interpretable or comparable to each other. Meanwhile, researchers in content analy ..."
Abstract - Cited by 846 (9 self) - Add to MetaCart
Currently, computational linguists and cognitive scientists working in the area of discourse and dialogue argue that their subjective judgments are reliable using several different statistics, none of which are easily interpretable or comparable to each other. Meanwhile, researchers in content

The struggle to govern the commons

by Thomas Dietz, Elinor Ostrom, Paul C. Stern - Science , 2003
"... Human institutions—ways of organizing activities—affect the resilience of the environ-ment. Locally evolved institutional arrangements governed by stable communities and buffered from outside forces have sustained resources successfully for centuries, al-though they often fail when rapid change occu ..."
Abstract - Cited by 661 (17 self) - Add to MetaCart
parties, officials, and scientists; complex, redundant, and layered institutions; a mix of institu-tional types; and designs that facilitate experimentation, learning, and change. In 1968, Hardin (1) drew attention to two human factors that drive environmental change. The first factor is the increasing de

Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools

by Joseph G. Altonji, Todd E. Elder, Christopher R. Taber , 2002
"... In this paper we measure the effect of Catholic high school attendance on educational attainment and test scores. Because we do not have a good instrumental variable for Catholic school attendance, we develop new estimation methods based on the idea that the amount of selection on the observed expla ..."
Abstract - Cited by 538 (14 self) - Add to MetaCart
correlation and causality is the most difficult challenge faced by empirical researchers in the social sciences. Social scientists rarely are in a position to run a

MEGA5: Molecular evolutionary genetics analysis using maximum . . .

by Koichiro Tamura, Daniel Peterson, Nicholas Peterson, Glen Stecher, Masatoshi Nei, Sudhir Kumar , 2011
"... Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version ..."
Abstract - Cited by 7284 (25 self) - Add to MetaCart
and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from

Deformable models in medical image analysis: A survey

by Tim Mcinerney, Demetri Terzopoulos - Medical Image Analysis , 1996
"... This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. They hav ..."
Abstract - Cited by 591 (7 self) - Add to MetaCart
the significant variability of biological structures over time and across different individuals. Furthermore, they support highly intuitive interaction mechanisms that, when necessary, allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task
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