Sentence examples for predictive connection from inspiring English sources

So, unless one is willing to adopt a theory of evidence with a very restricted range of application, a great deal will turn on how easy it is to determine objective likelihoods in situations where the predictive connection from hypothesis to data is itself the result of inductive inferences.

After the simulation, POBN identified 32 non-predictive connections, all of which were predicted before as part of the group of 93 non-predictive associations when sigma70 was part of the initial network.

When the POBN analysis was applied to experimentally gathered gene expression data, the algorithm identified 93 non-predictive connections out of the 570 connections present in the initial regulatory network from RegulonDB.

Next, all combinations of possible non-predictive connections were added to the initial graph one at a time for a total of 25 cases, i.e. 25 = (4 regulators)* 9 response variables - 11 defined connections).

In this paper, we introduce a Bayesian network based method to differentiate predictive and non-predictive connections in a transcriptional regulatory network given a body of gene expression data.

From this total, 75 non-predictive connections were found during the first sampling-score-ranking cycle of POBN analysis, 13 in a second cycle, and the last 5 in a third cycle.

If the initial global network did not rank first on the score list, we proceeded with another scoring round (POBN cycle) after updating the initial global graph by eliminating the set of non-predictive connections.

In this context, (empirical) prior beliefs about the world are conveyed by the (top-down) predictive backward connections between hierarchical levels, and sensory evidence by the (bottom-up) forward connections that pass prediction errors up the hierarchy until they are 'explained away' by changes in predictions.

The criterion used to define a connection as predictive or non-predictive was the rank of the initial global network based on score relative to all the tested edges disconnections (score of networks after each disconnection).

Results show that vmPFC is structurally connected with the STN and that the strength of this connection is predictive for choice bias towards an alternative that is more valuable, but not for choice bias towards an alternative that is more likely.

Results show that the STN is structurally connected with this region of the vmPFC and that the strength of this connection is predictive for choice bias towards an alternative that is more valuable, but not for choice bias towards an alternative that is more likely.