Contemporary high-throughput technologies provide measurements of very large numbers of variables

Contemporary high-throughput technologies provide measurements of very large numbers of variables but often with very small sample sizes. see Figure 1 conveying the prior network knowledge of the label-conditional distribution = 0 1 which includes a term contributed by the uncertainty class: λ∈ [0 1 reflects the uncertainty of the labeled training data compared to… Continue reading Contemporary high-throughput technologies provide measurements of very large numbers of variables