Then, a sample of learning resources that came with 100 commonly used textbooks in the disciplines of logistics/supply chain management and information systems were classified using the framework.
In 2008, to better support preschool practitioners in operationalizing the framework, the MOE produced and provided each kindergarten teacher with a practical curriculum guide that illustrated in greater detail a curriculum planning process and included samples of learning activities and suggestions for children's development and learning at the N, K1, and K2 levels.
The starting point is the conjecture, proved in specific cases, that image representations which are invariant to translation, scaling and other transformations can considerably reduce the sample complexity of learning.
This analysis, involving all samples and not making use of learning samples, does not resolve whether or not interbreeding occurs between NSH and ELW.
Consider this random sampling of workshops: Learning from the Single Hive; Raising Queens; Beekeeping Economics.
Nevertheless, the results of the integration agent for our JSL image database are comparable to the results for ViHASi image database, suggesting that our approach requires only a small amount of samples for learning.
Next, to avoid selection bias from a pattern of selection of learning samples, we repeat the entire process 20 times by shuffling samples at every 10-fold CV.
Statistical simulation uses the logic of survey sampling to learn about any feature of the probability distribution of the quantities of interest, such as its mean or variance [ 62].
Standardized tests indirectly assess only a small sample of any area of learning.
Boosting is a method of combining ensemble classifiers created from a weighted version of learning sample, where weights have been adjusted at each step to provide increased weight to cases misclassified earlier.
