Sentence examples for mutual predictions of from inspiring English sources

The race opened with mutual predictions of defeat.

In this paper, we take a formal approach to this issue and consider communication in terms of mutual prediction and active inference (De Bruin & Michael, 2014; Teufel, Fletcher, & Davis, 2010).

In contrast to cross-correlation, both continuity and mutual prediction are clearly able to discern the asymmetry in the flow of information through this system.

Predictions of mutual diffusion from the self-diffusion data and published thermodynamic data by using the Vrentas-Duda theory are in agreement with the measured mutual diffusivities.

The mutual information between the predictions of methods A and B was defined as MI(A, B) = H(A)+H(B -H A, B -H Aere H(A) = -Σp(a)·log2p(a), H(A, B) = -ΣΣp(a, b)·log2p(a, b) and p(a) and p(b) are the marginal probability distributions of the predictions of methods A and B (i.e. the fraction of positive and negative CTFPs identified by each method, respectively).

The predictions of the four methods are not significantly correlated to one another in terms of mutual information, although their overlap in terms of their positive predictions is low yet significant.

There are predictions of chaos.

Predictions of recession are rare.

Predictions of delay have been widespread.

But predictions of future dangerousness are difficult.

Mutual information (MI) as a powerful variable selection tool was used through laboratory measured variables to assess interactions and choose the most effective ones for predictions of R∗ and k.