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The leftmost panels (4A and 4D) were obtained for the model based on the boosted training set (set A) that had the lowest aggregate external predictive standard error (sPRED), whereas the middle panels (4B and 4E) are results for the boosted training set (set B) that had the lowest aggregate internal (cross-validated) predictive standard error (sCV) overall.
The learning algorithm that was used is a meta-classifier based on the boosted stumps algorithm.
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Exponential decrease from peak to pre-boosting value based on the boosting period of x years as defined by the parameter set.
The use of a priori information about the human face along with determining the significance of the image features based on the boosting procedure allows reducing the number of dimensions of the LBP feature space to approximately 250 (with the significance threshold (delta =0.95)).
The ADtree is based on the boosting technique but is at the same time a tree structure representable as a conjunction of rules all contributing a real-valued additive evidence toward classification.
Based on the boosting technique, a group additive regression model [ 27] and a nonparametric pathway-based regression model [ 28] were developed to identify groups of genomic features that are related to several clinical phenotypes, including the survival outcome.
In the second stage, scores from multiple quality scorers are fused to achieve the best overall performance, where the fuser is designed based on the parallel boosting idea borrowed from machine learning.
The algorithm is based on the Martingale boosting technique [ 14].
This paper proposes two DC DC converters namely semi-tapped and fully-tapped quadratic boost converter based on the quadratic boost converter topology for high step-up applications such as micro-inverter.
The air-launched rapid response weapon — the contract awarded to Lockheed this month — is based on the tactical boost glide hypersonic program pioneered by DARPA and the Air Force.
Therefore, based on the advantages of boosting algorithm, a hybrid forecasting method that combines boosting algorithm with the ARMA-MS model is proposed to improve the forecast accuracy.
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