• Aucun résultat trouvé

Construction and update of an online ensemble score involving linear discriminant analysis and logistic regression

N/A
N/A
Protected

Academic year: 2021

Partager "Construction and update of an online ensemble score involving linear discriminant analysis and logistic regression"

Copied!
21
0
0

Texte intégral

Loading

Figure

Table 1. Description of the datasets
Figure 1. Methodology of construction and update of the online ensemble score
Table 2. List of the couples of processes studied
Table 4. Mean (SD) rank of the processes across the 50 replications, by dataset and overall (ordered by overall rank)
+2

Références

Documents relatifs

After carefully looking at the bound on the expected cumulative regret term presented in Theorem 4 and comparing it with that of non- stationary online linear regression (Theorem 2),

In the model that we consider, there is a number of computing entities (also called processors, agents, or workers hereafter) which perform online re- gression estimation by

Sketch of proof The proof of the theorem is based on two main steps: 1) we upper-bound the cumulative regret using the true losses by the cumulative regret using the quadratic

ZL55-SO cells derived from a single cell (low eGFP clone) were sorted again after 20 weeks in culture based on their eGFP expression, resulting in ZL55-SO clone-low (yellow) and

terminal PDZ-binding domain motif SIV of the channel to syntrophins; (ii) utrophin is up-regulated in cardiac muscle of mdx5cv mice; (iii) cardiac sodium channel protein levels

Évitez de laisser tourner le moteur de votre voiture au ralenti, votre souffleuse à neige, votre tondeuse, votre génératrice ou tout autre équipement fonctionnant à essence

Figure 1. a) Schematic overview of the preprocessing and feature extraction applied in ink-deposition analysis. The consideration of recorded writing movements demands specific