Sentence examples for predicted inferences from inspiring English sources

Exact(1)

Prioritization of these predicted inferences will undoubtedly assist any future attempts to further analyze or verify these interactions.

Similar(59)

The validation exercise produced L2 error norms (i.e., the relative difference between the predicted inference score and the CTD inference score) for AN, σp, MP, and ρ of 29%, 14 %, 25, and 41%, respectively.

An in silico approach used SL gene pairs to bridge pathways and to develop a "parallel pathway model" in which they could successfully predict inferences regarding the membership of protein complexes [ 168].

In other words, the relative L2 error norm approaches zero as the predicted ln(Inference Score) approaches that from the CTD.

Thus, these projects could predict analogous inferences for all of our nonalignments in which the subject terms are more atomic than the object terms, so long as ontologically valid necessary and sufficient definitions could be constructed, as was done in this example.

However, these projects likely could not predict new inferences for many if not all of the nonalignments in which the object terms are more atomic than the subject terms presented here, because the required necessary and sufficient definitions likely could not be made in an ontologically valid manner.

In five experiments we found that Bayes' nets generally predicted participants' feature inferences quite well.

Given that newcomers are predicted to activate inferences similar to those activated by free riders, it will be particularly striking if the category of newcomer continues to be encoded even when the social world contains actual free riders.

In this work, the small pieces (contigs and scaffolds) were assembled into chromosomes based on the predicted parental haplotype, inferences from the TriTryp synteny maps, and end sequences from T. cruzi BAC libraries.

The above tasks can be performed by a suitable expert system that predicts values of the analyzed time series, using the predicted values and inference rules to verify any potential false alarm signals at the same time.

The RMS error between the subjects' measured r values and those predicted with this inference model across both groups was 0.077.

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