Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
— This paper provides an initial look at how support for advance reservations affects the complexity of the path selection process in networks. Advance reservations are likely to...
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Model-Driven Development requires model management languages and tools for supporting model operations such as editing, consistency checking, and transformation. At the core of the...
Dimitrios S. Kolovos, Richard F. Paige, Fiona Pola...
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...