In this paper, we propose to ensemble the predictions of three machine learning strategies: Support Vector Machine (SVM), Random Forest (RF), and Bootstrapped Step Wise Model Selection (BSWiMS). Gender-stratified SVM was trained on children using age (ages 9鈥 10), plus 122 volumetric scores...
the research stated, "In order to quickly and accurately predict borehole spontaneous combustion danger and avoid borehole spontaneous combustion fires, a borehole spontaneous combustion prediction model combining the Hunger Games search optimization algorithm (HGS) and Random Forest (RF) algorithm was ...
Paenibacillus larvae(GCF_002951935.1) andApis melliferaFilamentous Virus (GCF_001308775.1)]. BLAST + v.2.7.145(algorithmblastn, default parameters) was used to align assembled DNA sequences (commonly called contigs) on the sequence databases. For each assembled contig, we retained...
Since these masks directly calibrate the model following the random parameter search algorithm, described in Section 2.3, we require them to be as precise as possible: consequently, we set a threshold of 0.2. Note that lower thresholds than this are excluded, as the Snow Detection algorithm of ...
the research stated, "In order to quickly and accurately predict borehole spontaneous combustion danger and avoid borehole spontaneous combustion fires, a borehole spontaneous combustion prediction model combining the Hunger Games search optimization algorithm (HGS) and Random Forest (RF) algorithm was ...
Regarding prediction methods, there are hundreds of methods that can be used to predict a continuous variable from a set of features. Random Forest [3], Support Vector Machines [4], Recursive partitioning for classification [5], and Least Absolute Shrinkage and Selection Operator (LASSO) [6] ...
the University of Alberta, "In this paper, we propose a novel framework for incorporating uncertainty analysis that is fast enough (updates in 20 Hz) to be used in the control loop of a medical robot and that considers both the training and testing phases of the deep learning algorithm. As...
A., & Martins AS (2016) LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues. Expert Syst Appl 55:329-340D. O. T. Bruno, M. Z. do Nascimento, R. P. Ramos et al., "LBP operators on curvelet coefficients as an algorithm to describe ...
This is also the first control chart-related research that develops an algorithm to compute the performance measures that applies to any VP adaptive control scheme. After designing the control charts as well as performance measures, we perform extensive simulation studies and evaluate and compare all...