Maximizing the second term means the voxel classification probability should distribute as evenly as possible.
The third column shows the mean between the classification probabilities given by the three learning algorithms to each gene.
Minimizing the first term means for bright voxels assigning large classification probability to their closest cells.
In a first stage (0 115 ms post stimulus), classification probability was at chance (0.1251 ± 0.0001; mean ± sem), t < 1.
Given the neighbors ({mathcal {N}}_i) of node i, the WvRN estimates i's classification probability P y|i) of class label y with the weighted mean of its neighbors as mentioned above.
5 Where data have binary outcomes, we used mean classification error (CE), as in Le Cessie and Houwelingen [ 1992]: 6Here, is the estimated probability that the ith individual is a case based on his genotypes, that is.
Table 2 Mean classification accuracy at θ=0°.
Mean classification accuracy for all descriptors on the UIUC dataset.
Mean classification grade in parenteral intoxications was 2.3.
Mean classification accuracy for all descriptors on the Brodatz dataset.
