Enhancing vocabulary learning through two different techniques from a PPP approach

As generalization depends precisely on the degree of conditioning of this common element, this mechanism can elegantly explain perceptual learning within standard

The recent exponential growing of machine learning techniques (data-mining, deep-learning, manifold learning, linear and nonlinear regression techniques ... to cite but a few) makes

On the other hand, the interaction of students with human teachers providing hints led to a significant difference in learning gain between the post-test and the pre-test according

Curation Practices Multimodal Literacy Critical Dispositions Global Discourses COLLABORATION.?. Searching,

changes in: the production processes of television, especially content production and management; the communication platforms and techniques; the professional

In the “big picture” perspective of the recent years that we have described in Brazil, Spain, Portugal and Puerto Rico there are some similarities and important differences,

For instance, the best overall accuracy of bagging in Breast with 20% noise is achieved using a 10% sampling ratio: The test error goes from 4.1% when no noise is injected to 3.5%

In particular, different versions of the training set for the base learners can be used, as in bagging (bootstrap sampling of training data), class-switching (noise injection in