Buscar
Mostrando ítems 1-10 de 5837
Using Meta-Learning to predict student performance in virtual learning environments
Educational Data Science has meant an important advancement in the understanding and improvemen of learning models in recent years. One of the most relevant research topics is student performance prediction through ...
Effects of Mobile Learning in English Language Learning: A Meta-Analysis and Research Synthesis
English has become the most important language for communication worldwide, but learning it as a second language presents multiple challenges. Given its multimedia nature, mobile learning is an ally in learning this language. ...
MetaStream: a meta-learning based method for periodic algorithm selection in time-changing data
(ElsevierAmsterdam, 2014-03-15)
Dynamic real-world applications that generate data continuously have introduced new challenges for the machine learning community, since the concepts to be learned are likely to change over time. In such scenarios, an ...
Learning based on the stem model and the key to meta-cognition
In the integrated learning model, STEM (Science, Technology, Engineering and Mathematics), teaching and learning processes are based on active, manipulative, constructivist and discovery-oriented methodologies. The practical ...
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
(Wiley-Blackwell, 2017-12-01)
Recently, multi- and many-objective meta-heuristic algorithms have received considerable attention due to their capability to solve optimization problems that require more than one fitness function. This paper presents a ...
Micro-MetaStream: Algorithm selection for time-changing data
(2021-07-01)
Data stream mining needs to deal with scenarios where data distribution can change over time. As a result, different learning algorithms can be more suitable in different time periods. This paper proposes micro-MetaStream, ...
An experimental analysis on ontology meta-matching
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasPrograma de Pós-graduação em Ciência da ComputaçãoUFJF, 2021)
Dimensionality reduction for the algorithm recommendation problem
(2018-12-13)
Given the increase in data generation, as many algorithms have become available in recent years, the algorithm recommendation problem has attracted increasing attention in Machine Learning. This problem has been addressed ...