Epistemological obstacles in the learning process of Numeral Systems

In our analysis of the epistemological affiliation of the articles with a certain paradigm, we have adopted the methodological guide created by Morillon,

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

In fact, it shows that using a proposal based on a catalogue of competences makes very difficult the ultimate goal of the process, due to the validation of informal learning

(2007) Accumulation of arsenic in tissues of rice plant (Oryza sativa L.) and its 974. distribution in fractions of

The RT system includes the following components: the steady state detector used for model updating, the steady state process model and its associated performance model, the solver

This document contributes to enhance the overall interoperability per- spective in current e-learning management systems and on-line learning ob- ject repositories as well as each