Exact(9)
Ting [22] proposed a method that assigns larger weights to false negatives based on a cost function that reflects the importance of misclassified samples.
It assigns larger weights to positive samples than negative ones to overcome the problem that false positives and false negatives are treated without distinction in AdaBoost.
begin{aligned} alpha _{mathrm{i}}=|y_{mathrm{i}}-hat{y}_{mathrm{i}}| end{aligned} (1)The second nonconformity measure used, termed normalized, assigns larger prediction intervals to objects that are more different from objects used in the model development and hence are "harder" to predict, and smaller intervals to "easier" objects.
When a victim genotype is considered, its influence may filter this genotype list into a smaller one that assigns larger probabilities to each candidate.
ProMK assigns larger weights to the 2nd and 3rd networks.
This was necessary because SAM assigns larger amplitudes as a function of the depth of the source.
Similar(51)
As shown in (24) and Figure6, the ellipsoidal kernel assigns large weights along the edge direction.
In the proposed method, the ellipsoidal kernel assigns large weights along the estimated edge direction.
This kernel, called an ellipsoidal kernel, assigns large weights along the local edge direction in order to smooth the jagged edge artifacts along the edge direction.
Then k-sequences variability is greatly reduced by a hierarchical separative clustering, that assigns large amounts of distinct k-sequences to few classes.
For the phenotype chlorosis at 22°C (PID 169), we can see that ccSVM scales all SNPs down which the standard SVM assigns large weights to.
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