Sentence examples for model selection techniques from inspiring English sources
Indeed, while researchers are widely adopting model selection techniques in phylogenetics in order to select the model that best fits their dataset, this may be problematic when complex evolutionary models are not included in popular model selection tools, such as Modeltest [ 2].
Based on the available real dataset, some competing models are compared via model selection techniques.
Furthermore, by introducing caching, batching, and adaptive model selection techniques, Clipper reduces prediction latency and improves prediction throughput, accuracy, and robustness without modifying the underlying machine learning frameworks.
We used model selection techniques and linear models for testing relevant factors affecting specialist species in grassland fragments.
Species richness was related to these variables using generalized linear models (GLMs) complemented with model selection techniques based on information theory and partial regression analysis.
The data were analyzed with generalized linear models (GLMs) and model selection techniques based on Information Theory, complemented with partial regression analyses.
In this paper, an automated low- fidelity model selection technique is presented.
A recently proposed Bayesian model selection technique, stochastic model specification search, is carried out to discriminate between two trend generation hypotheses.
In this paper, we suggest a local model selection technique that provides an adaptive estimator of the conditional quantile regression curve at each design point.
In this paper, we study a penalized model selection technique that asymptotically achieves the optimal expected prediction loss (referred to as the limit of learning) offered by a set of candidate models.
The model selection technique identifies the model that best describes the structure in a data set among all a priori fitted models considered, controlling for the number of parameters (K), included in each model.
