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b The evolution of synaptic weights map.

Figure 7 Orthographic projections in the planes XZ (Figures 7a and7d) and YZ (Figures 7b and7e) of the most frequently occurring bins with positive and negative PLS weights mapped back to the 3D-QSDAR abstract space shown on Figures7c and7Figures7c

Bayesian fitting of binary probit regression models to the training data then permits an assessment of the relevance of the metagene signatures in within-sample classification, and estimation and uncertainty assessments for the binary regression weights mapping metagenes to probabilities of relative pathway status.

Bayesian fitting of binary probit regression models to the training data then permits an assessment of the relevance of the metagene signatures in within-sample classification, and estimation and uncertainty assessments for the binary regression weights mapping metagenes to probabilities of radiation exposure.

Shown in Figure 5 is a comparison between RAVLT-relevant markers and AD-relevant markers and their associated weights mapped onto a standard brain space.

Bayesian fitting of binary probit regression models to the training data then permits an assessment of the relevance of the metagene signatures in within-sample classification, and estimation and uncertainty assessments for the binary regression weights mapping metagenes to probabilities.

To simulate the human visual system selecting processes, the final weight map is found to be an equilibrium distribution of all weighted location maps calculated by weighted dissimilarity.

Fig. 8 The chosen network stations on the weight map.

Next, the computation of a scalar weight map is explained.

Next, the Gaussian pyramid of the weight map is computed.

The detection-weight map of the original image should be consistent with the weight map of the reconstructed image.