Approximate Bayesian neural networks in genomic prediction

satisability problem of dominane onstraints is NP-omplete0. This

Note also that the CPRTWT priority rule is equivalent to the PRTT and the PRTF priority rules when it is used respectively for the total tardiness and the total completion

We further study the combinatorial structure of the problem. Non-trivial polynomial cases under budgeted uncertainty are exhibited, where the dominance-based formulation yields

The aims of this study were to (1) present a modification of a previously developed model with addi- tive, dominance and inbreeding depression genetic effects for analysis of data

Another study on South African Duroc pigs reported dominance effects that were small and not statistically different from 0 for the traits ana- lyzed [ 33 ]; estimates of

Our objectives were two-fold: (1) to compare the predictive ability of genomic prediction models with additive or additive plus dominance effects, when the validation criterion

The objectives of this work were to estimate additive and non-additive (dominance and epistasis) variance compo- nents for litter size for a real pig population, by considering or

We can see in the two graphics of Figure 2 the performance of the FNT prediction for the NARMA test data set using Gaussian activation function and Fermi activation function.. Figure