Purpose: The purpose of this study was to determine prekindergarten predictors of listening comprehension in second grade. Methods: Within a large, 5-year longitudinal study, children progressing from prekindergarten to second grade were administered a comprehensive set of prekindergarten meas...
Using Kindergarten Number Sense to Predict Calculation Fluency in Second Grade Children's number sense in kindergarten was used to predict their calculation fluency in second grade (N = 198). Using block entry regression, usual predic... MN Locuniak,NC Jordan - 《J Learn Disabil》...
Fig. 2. The predictive power of the predictors in increasing order of importance. 3.2. Model explanatory performance We used the backward elimination technique in machine learning to assess the relative prediction power and identify the best subset of features from a given set of characteristics to...
These results suggest that the peritumoral edema region might be useful to be included in the construction of the Ki-67 LI prediction model for glioma. The purpose of this study was to explore the correlations between ADC parameters and Ki-67 LI in gliomas and to predict Ki-67 LI non...
Thanks to the development of machine learning algorithms, this method has an absolute advantage in landslide susceptibility prediction research, such as LR16,17, SVM18, ANN19, RF20, etc. Machine learning based on statistical methods has a powerful data processing ability and does not require ...
The decoding capabilities of the control decoder of the continuous bi-dimensional BCI (paradigm 2) were assessed using the cosine similarity between the prediction (control decoder output) and the optimal prediction. The optimal prediction at each time moment is a Cartesian vector between the current...
(Romero & Ventura2013). These different kinds of data sources have led researchers to analyze students’ characteristics from various perspectives. For example, grade prediction, clustering similar learning styles, identifying at-risk students, creating (personalized) student models, course recommendation,...
First, the study on existing prediction methods is still insufficient to identify the most suitable methods for predicting the performance of students in Malaysian institutions. Second is due to the lack of investigations on the factors affecting students achievements in particular courses within ...
microsatellite instability prediction29, and pan-cancer genetic profiling30,31. In a recent study on CNN-based pathological diagnosis12, the glioma classification was extended from three histological grades to five categories by adding the IDH and 1p/19q status. However, it is not strict WHO-consi...
Segmentation results on a weakly annotated dataset. The upper row shows the weakly annotated ground truth while the bottom row shows the accurate prediction of the network (Dense-2 U-net) for prostate, PZ, and CZ from left to right.