In most real world decision problems, the decision maker (DM) faces uncertainty either in the objective function that he aims to optimize, or some of the constraints that he needs to satisfy.

A mixture of multinomial logits (MMNL) generalizes the single logit model, which is commonly used in predicting the probabilities of different outcomes.

Last layer of every residual stage (res1, res2, res3, res4) and avgpool Table A.2: Details of the task-optimized DNNs used as baselines 2 A.4 Characterizing the spatial tuning of early visual areas: Polar angle agreement

However, these studies are, by construction, constrained by their a priori hypotheses. Furthermore, beyond the early stages, precise neuronal tuning properties and representational transformations along the ventral visual pathway remain poorly understood.

Similarly, in Figure 1c), the CST clinical label for two separate patients with visually dissimlar OCT scans is shown.

Particularly important is the ability to incorporate domain knowledge of invariances, e.g., translational invariance of images. Kernels based on the maximum similarity over a group of transformations are not generally positive definite. Perhaps it is for this reason that they have not been studied theoretically.

Particularly important is the ability to incorporate domain knowledge of invariances, e.g., translational invariance of images. Kernels based on the maximum similarity over a group of transformations are not generally positive definite. Perhaps it is for this reason that they have not been studied theoretically.