learning curve

Definitions

  • WordNet 3.6
    • n learning curve a graph showing the rate of learning (especially a graph showing the amount recalled as a function of the number of attempts to recall)
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Usage

In literature:

An example of the latter class of changes in the learning curve.
"After the Rain" by Sam Vaknin
The swaying of the train around a curve makes little difference, as the clerks in a short time learn to follow every motion of the train.
"The Bay State Monthly, Vol. 1, Issue 1." by Various
When children learn to walk in nature's own way, it is seldom indeed that we find them with curved legs, or crooked or clubbed feet.
"The Young Mother" by William A. Alcott
The process of habit formation has been shown by learning curves.
"How to Teach" by George Drayton Strayer and Naomi Norsworthy
Here, too, the curve of learning at first rises quickly and then more and more slowly.
"Psychology and Industrial Efficiency" by Hugo Münsterberg
Draw a learning curve similar to the one on page 95, showing the increase in skill.
"The Science of Human Nature" by William Henry Pyle
There is, up to a certain point, an almost vertical rise in the learning curve.
"Human Traits and their Social Significance" by Irwin Edman
You have learned about the twenty-four little bones in the spine, and the ribs that curve around from the spine to the front, or breast-bone.
"Child's Health Primer For Primary Classes" by Jane Andrews
We thus learn how the sea is curved at every part, and therefore it is natural to suppose that the earth is a sphere.
"The Story of the Heavens" by Robert Stawell Ball
The alphabet is made up of curves, therefore we must prepare for it by learning to make straight lines.
"The Montessori Method" by Maria Montessori
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In news:

Learning curve can't keep up with Russell Wilson.
Dionne — The conservative learning curve .
BOYS' BASKETBALL: Sierra Canyon's Devearl Ramsey, Derryck Thornton show impressive learning curve .
Learning curve with Jackson, too.
Casey Hayward's learning curve not very steep.
Lakers battling the learning curve .
Learning curve remains steep for inexperienced Rockets.
Farming with a learning curve .
Healthy Eating – A Never-Ending Learning Curve .
Even RG3 subjected to a learning curve .
Running back James is mastering learning curve .
Mitt Romney's international trip: Still on a learning curve .
Learning curve for MU, A&M.
The Dictator's Learning Curve .
Mastering the Self-Storage Management Software Learning Curve .
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In science:

Learning curves describe the development of the performance of chemometric models as function of the training sample size.
Sample Size Planning for Classification Models
In other words, the learning curve is assumed to be flat between the training sample size of the surrogate model and training sample size of the final model.
Sample Size Planning for Classification Models
Cross validation is unbiased with respect to the number of cases actually used for training of the surrogate models and is therefore more suitable for calculating learning curves.
Sample Size Planning for Classification Models
Growing Data Sets or Retrospective Learning Curves Both real and simulated data sets were used for the learning curve estimation in a “growing” fashion.
Sample Size Planning for Classification Models
However, as the drawn number of samples approaches the size of the small data set, the retrospective estimate of the learning curve tends towards the estimate of the growing data set.
Sample Size Planning for Classification Models
The learning curve describes the performance of a given classifier for a problem as function of the training sample size .
Sample Size Planning for Classification Models
The general discussion of learning curves, e. g. [10, fig. 7.8], usually considers the combination of the first three error types (as function of the training sample size) which form the average (expected) performance of a given classification rule for a particular problem if ntrain training cases are available.
Sample Size Planning for Classification Models
The learning curve for a particular data set is known as conditional learning curve .
Sample Size Planning for Classification Models
Figures 3 and 4 give the (unconditional) learning curves for the real and simulated data in the top rows (lines).
Sample Size Planning for Classification Models
Bottom row: Learning curve of one growing data set, measured with 100× iterated 5-fold cross validation.
Sample Size Planning for Classification Models
Learning curves reported for real data sets usually give one point measurement for each classifier set up and training sample size only and are usually calculated in the “retrospective” manner according to our definition above.
Sample Size Planning for Classification Models
In practice, however, neither the top nor the middle row learning curves are available, only (iterated) cross validation or out-of-bootstrap results are available from within a given data set.
Sample Size Planning for Classification Models
Sensitivity dation again does not even resemble the shape of the example data set’s learning curve.
Sample Size Planning for Classification Models
This will lead to sample sizes that allow retrospective calculation of learning curves and a refined sample size planning in terms of both test and training sample size can then be done.
Sample Size Planning for Classification Models
By these three examples we do not mean to give an exhaustive picture, but at least we can learn that if the diffuse matter remains in the gravitational influence of one mass only, then we can expect slight distortions on the original microlensing light curve, which can be restricted to a limited number of peaks.
Microlensing of strongly interacting binary systems
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