Sentence examples for in the learning set from inspiring English sources

The win stay, lose shift strategy that explains the progressive improvement in reversal learning can also explain the same improvement in the learning set task but only if the animal can generalize the strategy to novel stimuli.

For a given class h, let M h be the number of images for this class in the learning set.

This is done in the following way: the criterion S is computed for all images of each class h in the learning set.

ML algorithms extract relevant information from empirical dataset through computational/statistical techniques and generate a set of rules, functions, or procedures that allow them to predict the properties of novel objects which have not been included in the learning set.

Increasing the number of elements in the learning set caused some improvement for kNN method the lowest value of (P_{vert 0 rangle }=0.8859) for Hermitian matrices and the highest value of (P_{vert 0 rangle }=0.8011) for non-Hermitian matrices.

The first difference is connected with the phase of learning in the classical approach, the complexity is affected by the number and length of series included in the learning set, while in quantum system, only the length (k^2) of learning series influences its complexity.

Each participant appears in either the learning set or test set.

In Figure 6, the learning set samples are displayed in the three-dimensional space constructed from the class probabilities of FA, FC, and N, and indeed all four tissue types could be resolved into separate locations.

In this section, we describe the learning set used in the test, and evaluate the proposed algorithm by comparing the recognition results of the original image, the cropped image of the recognition target part, and the preprocessed recognition target image.

Both human and mouse homologs were removed from the learning set in our experiments.

Similarly, support vector machines represent a third approach to machine learning, in which the learning set of data points are mapped into a higher dimensional space via a kernel function, and a hyperplane identified that provides the greatest separation between points of different class (ADHD, control).