Finally, many of the more recent decisions have relied on the fact that the Supreme Court has not recognized that gays and lesbians constitute a suspect class or the fact that the Court has applied rational basis review in its most recent decisions addressing classifications based on sexual orientation, Lawrence and Romer.
To address classification problems with rough sets, three-way decisions with probabilistic rough set (Yao 2010) are introduced.
Despite the AVEC'13 and AVEC'14 datasets being focused on continuous depression assessment, different approaches have utilized it to address classification of portrayed persons into high- and low-depression severity groups according to the following standard BDI score cut-offs [4]: 0–13: Minimal depression 14 18: Mild depression 19 28: Moderate depression 30 63: Severe depression.
Notably, while the IG claims no violations of law on Ms. Clinton's part regarding her handling of unclassified emails -- importantly, the IG investigation does not address classification issues -- even the IG's conclusions as to policy transgressions are belied by many other facts that emerged from its investigation.
Data have not yet been presented which appropriately address classification using current ICTV criteria and the scope of the clinical impact of these divergent strains has not yet been studied in detail.
Discriminative models are designed to naturally address classification tasks.
"Addressing imbalanced classification in Big Data problems: current state" section includes an overview on those works that address imbalanced classification for Big Data problems.
To address this issues, in this paper we show a novel framework addressing HSI classification based on the domain adaptation (DA) with active learning (AL).
Finally, the concordance of the cohort address classification by the two models was considered.
The "black-box" models, such as support vector machines (SVMs), discriminant analysis (DA), artificial neural networks (ANNs), genetic algorithms (GAs), naïve Bayes (NB), and k-nearest neighbors (k-NNs), address classification problems without any knowledge-based explanation rules.
