## hidden_units penalty .metric .estimator mean n std_err ## <int> <dbl> <chr> <chr> <dbl> <int> <dbl> ## 1 10 0.00000307 accuracy binary 0.917 10 0.00209Seems like the second model, the random forest performed the best (highest mean accuracy with lowest standard error). So let’...
(C) Neural pattern inference via hidden Markov model (HMM). An HMM (left, schematics) is fit to a representative session in (D), returning a set of neural patterns (emission matrix, center) and atransition probabilitymatrix (TPM; right). Each pattern is a population firing rate vector (c...
et al. QuantiSNP: an objective Bayes hidden-Markov model to detect and accurately map copy number variation using SNP genotyping data. Nucleic Acids Res. 35, 2013–2025 (2007). 57. Korn, J. M. et al. Integrated genotype calling and association analysis of SNPs, common copy number ...
We consider the emergence of network structure as a result of social inheritance, in which newborns are likely to bond with maternal contacts, and via forming bonds randomly. We compare model output with data from several species, showing that it can generate networks with properties such as ...