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Computer game-based and traditional learning method: a comparison regarding students’ knowledge retention
(2013-02-25)
Abstract
Background
Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes ...
An e-learning system to prepare negotiations
(2008)
The goal of this article is to propose an environment for negotiation e-learning courses using a workflow approach to help learners to prepare the negotiation. This environment is based on a matrix of complex negotiations ...
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
(2012-12-01)
Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate ...
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
(2012-12-01)
Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate ...
A new implementation of population based incremental learning method for optimizations in electromagnetics
(Institute of Electrical and Electronics Engineers (IEEE), 2007-04-01)
To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. The strategy for updating those ...
A new implementation of population based incremental learning method for optimizations in electromagnetics
(Institute of Electrical and Electronics Engineers (IEEE), 2007-04-01)
To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. The strategy for updating those ...
A random walk through the trees: Forecasting copper prices using decision learning methods
(Elsevier, 2020)
We investigate the accuracy of copper price forecasts produced by three decision learning methods. Prior evidence (Liu et al. Resources Policy, 2017) shows that a regression tree, a simple decision learning model, can be ...