Prediction is very important in business planning. The ability to accurately predict the future is fundamental to many …

compare the results of prediction obtained with those two models. The Support Vector Machine model exceeds the Neural Network … model regarding the prediction horizon. …

behavior. This complex situation makes it very difficult to accurately implement the prediction of building energy consumption …

When trying to learn a model for the prediction of an outcome given a set of covariates, a statistician has many … learners. Motivated by this use of cross validation, we propose a new prediction method for creating a weighted combination of … in prediction which uses V-fold cross-validation to select weights to combine an initial set of candidate learners. In …

When trying to learn a model for the prediction of an outcome given a set of covariates, a statistician has many … learners. Motivated by this use of cross validation, we propose a new prediction method for creating a weighted combination of … in prediction which uses V-fold cross-validation to select weights to combine an initial set of candidate learners. In …

results, with better than an 85% prediction accuracy on the 10-fold holdout sample. The sensitivity analysis on trained models …

. Ultimately, accurate and cost effective wide-scale energy prediction is a vital step towards next-generation energy efficiency …

women. It further examined whether a relationship existed between marital success/failure and the predictor variables of …