Buscar
Mostrando ítems 51-60 de 10060
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 ...
Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques
(2015)
Discriminative learning of Restricted Boltzmann Machines has been recently introduced as an alternative to provide a self-contained approach for both unsupervised feature learning and classification purposes. However, one ...
Geographic Information Modeling based in a Geospatial Meta-ontologyModelado de la Información Geográfica basado en una Meta-ontología Geoespacial
(Universidad Tecnológica Nacional, 2019)
Meta-learning recommendation of default hyper-parameter values for SVMs in classifications tasks
(University of PortoPorto, 2015-09)
Machine learning algorithms have been investigated in several scenarios, one of them is the data classification. The predictive performance of the models induced by these algorithms is usually strongly affected by the ...
On the evaluation of soil erosion models: are we doing enough?
(Elsevier, 2020)
Um framework baseado em modelos para desenvolvimento de sistemas multimídia distribuídos autoadaptativos
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2011-01-19)
Distributed multimedia systems have highly variable characteristics, resulting in new requirements while new technologies become available or in the need for adequacy in accordance with the amount of available resources. ...
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 ...
IMS learning resource meta-data information model : version 1.1 - final specification
(IMS Global Learning Consortium, Inc., 2011)
Discricionariedade vs. comprometimento: a análise de regras ótimas num contexto de regime de metas de inflação
(2002-03-15)
The purpose of this dissertation is to analyze the case of monetary policy rules in models in which the a:gent's expectations are rational based in forward looking view for Inflation target regimes. The commitment and ...