<p> (A) The average minimum number of epochs required for correct learning, as a function of the load , for various numbers of categories . Regardless of , the points fall on the same curve. (B) The maximum load for which correct learning is achieved (the capacity ), as a function of the number of categories . The shaded area represents the uncertainty due to the fact that the load can vary only discretely, in steps of , for a particular . The capacity is approximately constant for all .</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
Two aspects of variation within categories, relating to different models of categorization, were inv...
Learning using e-learning methods is often said to be cheaper, more efficient and flexible. So what ...
<p>The input patterns are classified into 3 classes. (A)–(C) The average minimum number of epochs re...
<p>(A) The number of learning epochs required for correct learning as a function of the load , for ....
<p> (A) The maximum load (the capacity ) as a function of the trial length . (B) The number of learn...
The strength of the acceptance by a particular e-learner for a particular e-learning material depend...
When the number of APs whose performance was collected was (a) 2 (i.e., unsaturated learning) and (b...
We discuss some estimates for the misclassification rate of a classification tree in terms of the si...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
© 2018, Psychonomic Society, Inc. Learning difficulty orderings for categorical stimuli have long pr...
In the educational field, the system performance, as well as the stakeholders’ satisfaction, are con...
The success and the efficiency of e-Learning should be measured by a reliable method in order to use...
<p>Classification accuracy as a function of network load (Lexicon size), averaged over 10 networks w...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
Two aspects of variation within categories, relating to different models of categorization, were inv...
Learning using e-learning methods is often said to be cheaper, more efficient and flexible. So what ...
<p>The input patterns are classified into 3 classes. (A)–(C) The average minimum number of epochs re...
<p>(A) The number of learning epochs required for correct learning as a function of the load , for ....
<p> (A) The maximum load (the capacity ) as a function of the trial length . (B) The number of learn...
The strength of the acceptance by a particular e-learner for a particular e-learning material depend...
When the number of APs whose performance was collected was (a) 2 (i.e., unsaturated learning) and (b...
We discuss some estimates for the misclassification rate of a classification tree in terms of the si...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
© 2018, Psychonomic Society, Inc. Learning difficulty orderings for categorical stimuli have long pr...
In the educational field, the system performance, as well as the stakeholders’ satisfaction, are con...
The success and the efficiency of e-Learning should be measured by a reliable method in order to use...
<p>Classification accuracy as a function of network load (Lexicon size), averaged over 10 networks w...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
Two aspects of variation within categories, relating to different models of categorization, were inv...
Learning using e-learning methods is often said to be cheaper, more efficient and flexible. So what ...