The novel text classification tool which called LDABoost in this article is fully proposed in the former sections.
This section covers simulation-based evaluations of the concepts described in the former sections of this paper.
In this section, we show that the weight vector w g and matrix W g in the former sections can contain arbitrary s entries with arbitrary real numbers.
In the former sections, we apply intersystem retransmission mechanism at common IW sublayer and cross-layer mechanism between layer-2 sublayers to resolve packet loss and long handover latency problems.
Finally, Section 4 extends the relevant results of the former sections to the case that A and B intersect in the sense that the role of common fixed points is played instead by common best proximity points under the assumption that the subsets A and B belong to a uniformly convex Banach space.
In the former sections, we used leave-one-out cross validation to demonstrate the algorithms' improvements made on predicting protein functions.
