Exact(2)
The main aim of this paper is to propose a fusion model based on the use of multiple diverse base classifiers that operate on a common input and a Meta classifier that learns from base classifiers' outputs to obtain more precise stock return and risk predictions.
Hassan et al. (2007) proposed and developed a fusion model combining the HMM with an Artificial Neural Network and a Genetic Algorithm to achieve better forecasts.
Similar(58)
Neural networks were introduced as a way of building an information fusion model in a coal mine monitoring system.
Moreover, the ability of EPO to increase bone healing in a more clinically relevant setting, for instance a fracture model of the long bones or a spinal fusion model, remains to be tested in a large-animal model.
A geostatistical fusion model is utilised implemented within a Bayesian setting.
Using a three-class (a) and two-class (b) subgrouping model, a minimal multiply-redundant methylation signature was identified by selecting a subset of signature candidates with the highest ranking in a classifier fusion model (support vector machine (SVM), artificial neural network (ANN), decision tree (DT) and Bayesian network (BN).
The damage detection accuracy was improved through a data fusion model that included the effect of group of sensors.
This paper proposes a data fusion model and the application procedure for quantitative and online visualization evaluation.
In a spinal fusion model, aged autografts treated with L-WNT3A demonsuperioruperior bone forming capacity compared to the standard of care.
To lessen the sensitivity of different kernels in SVMs classification and improve SVMs generalization ability, this paper proposes a fuzzy fusion model to combine multiple SVMs classifiers.
Here, we directly compare the efficacy of NELL-1, a novel osteoinductive growth factor, to two currently available treatments, (1) recombinant BMP-2 and (2) iliac crest bone grafting, in a spinal fusion model.
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