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Boosted Ensemble of the Nadaraya-Watson estimators in regression task on the boundary of the feature space the performance of a single learner. Different ensemble learning methods are used in combination with one
Методика формирования навыков художественного общения младших школьников в ансамбле скрипачейThe purpose of this article is to describe the methods, games and exercises that are conducted
Ensemble-Based Commercial Buildings Facades Photographs ClassifierWe present an ensemble-based method for classifying photographs containing patches with text
User-level malicious behavior analysis model based on the NMF-GMM algorithm and ensemble strategy are given. Experimental results show that the proposed user grouping method and ensemble strategy is capable
An ensemble method based on rotation calibrated least squares support vector machine for multi-source data classificationThis paper proposed an extended rotation-based ensemble method for the classification of a multi
Hyperparameters Optimization of Ensemble-based Methods for Retina Image Classification comparative analysis of ensemble machine learning algorithms and describes an approach to the selection
Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms the standalone models with two ensemble methods [bootstrap aggregating (BA), disjoint aggregating (DA
Distribution function of finite-size lattice systems per particle in the grand canonical ensemble particle in the grand canonical ensemble is considered. Connections between the conditional distribution
Методика формирования навыков художественного общения младших школьников в ансамбле скрипачейThe purpose of this article is to describe the methods, games and exercises that are conducted
Distribution function of lattice systems of finite dimensions with respect to the number of particles in a large canonical ensembleOne method to identify a phase transition of the first kind is to study the distribution function
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