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Found 7 papers, 0 papers with code
Feature Selection via Robust Weighted Score for High Dimensional Binary Class-Imbalanced Gene Expression Data
The performance of the proposed ROWSU method is evaluated on $6$ gene expression datasets.
A Random Projection k Nearest Neighbours Ensemble for Classification via Extended Neighbourhood Rule
Ensembles based on k nearest neighbours (kNN) combine a large number of base learners, each constructed on a sample taken from a given training data.
Optimal Extended Neighbourhood Rule $k$ Nearest Neighbours Ensemble
Each base model is constructed on a bootstrap sample with a random subset of features, and optimal models are selected based on out-of-bag performance after building a sufficient number of models.
A k nearest neighbours classifiers ensemble based on extended neighbourhood rule and features subsets
kNN based ensemble methods minimise the effect of outliers by identifying a set of data points in the given feature space that are nearest to an unseen observation in order to predict its response by using majority voting.
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
Then, the resulting significant variables concerning their lags are used in the regression model selected by the ARDL for predicting and forecasting the trend of the epidemic.
Optimal trees selection for classification via out-of-bag assessment and sub-bagging
The predictive performance of tree based machine learning methods, in general, improves with a decreasing rate as the size of training data increases.
Optimal survival trees ensemble
The top ranked survival trees are then assessed for their collective performance as an ensemble.
