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The learning curve The learning curve
"... Abstract (98 words) Most tasks get faster with practice. This holds across task size and task type. Learning curves plot time to complete a task as a function of practice. Such curves generally follow what is called a power law, thus, they are often said to conform to "the power law of practic ..."
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Abstract (98 words) Most tasks get faster with practice. This holds across task size and task type. Learning curves plot time to complete a task as a function of practice. Such curves generally follow what is called a power law, thus, they are often said to conform to "the power law
Four Types Of Learning Curves
 Neural Computation
, 1991
"... In learning from examples, the generalization error (t) is the average probability that an incorrect decision is made by a machine trained by t examples. The generalization error decreases as t increases, and the curve (t) is called a learning curve. The present paper uses the Bayesian approach to s ..."
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Cited by 33 (2 self)
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In learning from examples, the generalization error (t) is the average probability that an incorrect decision is made by a machine trained by t examples. The generalization error decreases as t increases, and the curve (t) is called a learning curve. The present paper uses the Bayesian approach
The use of the area under the ROC curve in the evaluation of machine learning algorithms
 PATTERN RECOGNITION
, 1997
"... In this paper we investigate the use of the area under the receiver operating characteristic (ROC) curve (AUC) as a performance measure for machine learning algorithms. As a case study we evaluate six machine learning algorithms (C4.5, Multiscale Classifier, Perceptron, Multilayer Perceptron, kNe ..."
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Cited by 685 (3 self)
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In this paper we investigate the use of the area under the receiver operating characteristic (ROC) curve (AUC) as a performance measure for machine learning algorithms. As a case study we evaluate six machine learning algorithms (C4.5, Multiscale Classifier, Perceptron, Multilayer Perceptron, k
Statistical Theory of Learning Curves
"... Behaviors of a learning machine depends on its complexity and the number of training examples. A learning curve shows how fast a neural network or a general learning machine can improve its behavior as the number of training examples increases. This is also related to the complexity of a learning ma ..."
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Cited by 1 (0 self)
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Behaviors of a learning machine depends on its complexity and the number of training examples. A learning curve shows how fast a neural network or a general learning machine can improve its behavior as the number of training examples increases. This is also related to the complexity of a learning
Learning curves for Gaussian process
 Neural Computation
, 1999
"... We consider the problem of calculating learning curves (i.e., average generalization performance) of Gaussian processes used for regression. On the basis of a simple expression for the generalization error, in terms of the eigenvalue decomposition of the covariance function, we derive a number o ..."
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We consider the problem of calculating learning curves (i.e., average generalization performance) of Gaussian processes used for regression. On the basis of a simple expression for the generalization error, in terms of the eigenvalue decomposition of the covariance function, we derive a number
Aggregated Learning Curves
"... We examine recent concerns that averaged learning curves can present a distorted picture of individual learning. Analyses of practice curve data from a range of paradigms demonstrate that such concerns are well founded for fits of power and exponential functions when the arithmetic average is comput ..."
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We examine recent concerns that averaged learning curves can present a distorted picture of individual learning. Analyses of practice curve data from a range of paradigms demonstrate that such concerns are well founded for fits of power and exponential functions when the arithmetic average
Applying the Learning Curve In Financial Decisions
"... Finance text books ignore the systematic impact of learning on financial decisions, and survey results suggest that practitioners fail to consider the benefits of learning. We propose that instructors should include the learning curve and its specific measure of the benefits of learning when teachin ..."
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Finance text books ignore the systematic impact of learning on financial decisions, and survey results suggest that practitioners fail to consider the benefits of learning. We propose that instructors should include the learning curve and its specific measure of the benefits of learning when
Learning to detect natural image boundaries using local brightness, color, and texture cues
 PAMI
, 2004
"... The goal of this work is to accurately detect and localize boundaries in natural scenes using local image measurements. We formulate features that respond to characteristic changes in brightness, color, and texture associated with natural boundaries. In order to combine the information from these fe ..."
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Cited by 625 (18 self)
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these features in an optimal way, we train a classifier using human labeled images as ground truth. The output of this classifier provides the posterior probability of a boundary at each image location and orientation. We present precisionrecall curves showing that the resulting detector significantly
A COGNITIVE MODEL OF THE LEARNING CURVE
, 2001
"... This article provides a cognitive foundation of the parameters that regulate a model of the learning curve. Organizational learning and its actual occurrence are linked to the number of available categories and to the amount of information to be processed. ..."
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This article provides a cognitive foundation of the parameters that regulate a model of the learning curve. Organizational learning and its actual occurrence are linked to the number of available categories and to the amount of information to be processed.
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