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Heuristics

Known as: Heuristic, Rule of Thumb 
Experience-based techniques for problem-solving, learning, and discovery that find a solution which is not guaranteed to be optimal, but sufficient… Expand
National Institutes of Health

Papers overview

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Review
2019
Review
2019
This paper addresses the challenges faced by multiscale formulations of the variational (free energy) approach to dynamics that… Expand
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Review
2018
Review
2018
The process of using information about documents such as the author, genre, and date of publication while evaluating and… Expand
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Review
2018
Review
2018
Adequate statistical power contributes to observing true relationships in a dataset. With a thoughtful power analysis, the… Expand
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Review
2017
Review
2017
Even todays most advanced machine learning models are easily fooled by almost imperceptible perturbations of their inputs… Expand
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Highly Cited
2012
Highly Cited
2012
jModelTest 2: more models, new heuristics and parallel computing Diego Darriba, Guillermo L. Taboada, Ramón Doallo and David… Expand
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Highly Cited
2004
Highly Cited
2004
BackgroundExhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their… Expand
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Highly Cited
1995
Highly Cited
1995
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
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Highly Cited
1981
Highly Cited
1981
The identification of maximally homologous subsequences among sets of long sequences is an important problem in molecular… Expand
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Highly Cited
1977
Highly Cited
1977
This paper proposes a class of surrogate constraint heuristics for obtaining approximate, near optimal solutions to integer… Expand
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Highly Cited
1974
Highly Cited
1974
This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which… Expand
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