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2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), 2019
Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous parameters, based on their assumptions and experience, against concrete problems and training data sets.
Thomas Hartmann 0001 +4 more
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Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous parameters, based on their assumptions and experience, against concrete problems and training data sets.
Thomas Hartmann 0001 +4 more
openaire +2 more sources
International Journal of Information and Communication Technology, 2008
The word and the concept of meta are used in virtually all disciplines of computing. Professionals often use it intuitively and in specific contexts in which the meaning of a word containing the meta- prefix is well understood, at least by specialists. For example, all experts in artificial intelligence know what metarules are and where they are useful.
Vladan Devedzic +2 more
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The word and the concept of meta are used in virtually all disciplines of computing. Professionals often use it intuitively and in specific contexts in which the meaning of a word containing the meta- prefix is well understood, at least by specialists. For example, all experts in artificial intelligence know what metarules are and where they are useful.
Vladan Devedzic +2 more
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A meta-analysis of meta-analyses
Fertility and Sterility, 2011Meta-analyses have become an increasingly popular method of drawing conclusions when there are multiple publications addressing a particular topic. While the statistical calculations are straightforward, many of the decisions regarding the research question, populations of interest, and inclusion/exclusion criteria are subjective and have a significant
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Meta-analyzability Concerns in Meta-analyses
Archives of Physical Medicine and Rehabilitation, 2019Many studies to date have conducted a meta-analysis on a mix of effectiveness and superiority studies. This methodological flaw will lead to difficulties in interpreting the results. We addressed this issue in this article, illustrated our point with a simulated experiment, and re-analyzed a recent meta-analysis study based on the effectiveness ...
Chih-Yang Hsu, Yen-Nung Lin
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Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies.
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The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies.
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ACM SIGGRAPH 2010 Emerging Technologies, 2010
So far, gustatory information has rarely been studied in relation to computers, even though there are lots of studies on visual, auditory, haptic and olfactory information. This scarcity of research on gustatory information has several reasons. One reason is that gustatory sensation is based on chemical signals, whose functions have not been fully ...
Takuji Narumi +3 more
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So far, gustatory information has rarely been studied in relation to computers, even though there are lots of studies on visual, auditory, haptic and olfactory information. This scarcity of research on gustatory information has several reasons. One reason is that gustatory sensation is based on chemical signals, whose functions have not been fully ...
Takuji Narumi +3 more
openaire +3 more sources