Sentence examples for over inferred from inspiring English sources

We outline three key principles of this functional architecture: inferential temporal control, task-set creation based on probabilistic marginalization processes over inferred latent states and, two nested abstract levels of action chunking.

It has also been suspected for some time that certain taxa could have a strong influence over inferred phylogenies, and a number of methods have been developed to identify weak clades in phylogenetic trees [ 44- 47] or the highly influential taxa responsible for weakening phylogenetic relationships [ 48].

Effect of number of states on (A) model evidence, approximated by the negative of the free energy, (B) minimum fractional occupancy and (C) mean life time, computed over all inferred states and 50 realizations of each HMM inference.

Using algorithms to analyze switching from vlsE sequencing data, we characterize a population of over 45,000 inferred recombination events generated during mouse infection.

Classification/regression is then performed over the inferred topics h using softmax or linear regression as outlined earlier for LDA, i.e. using Equations 1 and 2. In order to devise an sRSM, we propose a fully connected, feed-forward neural network (FNN) as shown in Figure 2c.

The Bayesian nature of our approach means that we can provide full probability distributions over the inferred parameters and states, not just point estimates.

The increased affinity of the mature CH58 antibody over its inferred unmutated ancestor CH58-UA appeared to depend in part on tuning of local interactions.

While caution must always be used when concluding that a sequence is absent from any particular genome, the P. marinus genome database includes over 23,000 inferred proteins, suggesting a relatively complete data set for proteomic comparisons.

The difference arises because the trace in Figure 4A arises from a single, best-fit set of model parameters, whereas the trace (and distribution) in Figure 4C describes the behaviour over the inferred posterior range on each parameter.

The main reason for this investigation is to avoid an over-fitting of the inferred model to the measured data.

To explore how LPS stimulation affects the transcriptional regulation of target genes of JunD and interacting TF partners, for each time point of the LPS time course we performed over-representation analysis of inferred JunD target genes within the DE genes.