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Slower baseline approach in the presence of financial reinforcers could alternatively reflect an attentional bias towards reinforcement cues in the environment, thus indicating heightened reinforcement sensitivity in these individuals.
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Accordingly, we select the RNNLM as our baseline approach in this paper.
We find that our method outperforms the baseline approaches in the experiments, and that it generalizes well on different word embeddings without retraining.
Degree and eigenvector centrality perform significantly better (P-value <0.05) than the baseline approach in terms of the percentage of the confirmed genes and confirmed inferred genes.
We now discuss the main performance results of each baseline approach in relation to their rated importance and display the related weighted MCA scorings in parenthesis.
Rather, each baseline method has its specific strengths and weaknesses, which are graphically displayed in the spider-net diagram in Figure 4. We now discuss the main performance results of each baseline approach in relation to their rated importance and display the related weighted MCA scorings in parenthesis.
Puyravaud [44] suggested a standardized approach to calculate deforestation rates which has hence been widely applied, e.g. as baseline approach in [20], which can be applied to develop REDD+ RELs [21-23,25].
Puyravaud [ 44] suggested a standardized approach to calculate deforestation rates which has hence been widely applied, e.g. as baseline approach in [ 20], which can be applied to develop REDD+ RELs [ 21- 25, 25].
In addition, RECRA consistently outperforms baseline approaches in terms of the total distance movement.
On the BU-3DFE dataset [30] with multiple subjects and manually annotated landmarks, we clearly outperform the baseline approaches in all tests.
We then compare the resulting separation performance with conventional maximum likelihood (ML) estimation and with two baseline approaches in an under-determined full-rank semi-informed scenario where the source positions and certain room characteristics are known.
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