Sentence examples for probability of interpreting from inspiring English sources

Directing one's gaze upward at an ambiguously oriented object might increase the probability of interpreting it as tilted up or viewed from below.

For each rule R, a probability p of interpreting a call as an anomaly is defined according to n, the number of identical antecedent tuples (on the left term of the rule) that satisfy the rule during training, and r, the cardinality of the set of observed values for the consequent (right term of the rule).

Obviously things are confused by the use of the concept of chance as a way of interpreting probability theory.

The expression Pr(x)—called the unconditional probability of x is interpreted by the Bayesian as supplying the degree of credence of a rational subject s in x.

In recent years progress has been made especially along the lines of interpreting the probabilities in decision-theoretic terms for a 'splitting' agent (see in particular Deutsch (1999) and Wallace (2003b, 2007)).[24] The most useful application of decoherence to Everett, however, seems to be in the context of the problem of the preferred basis.

Cattaneo (2008) gives some content to the reliability index of a probability by interpreting it in terms of the likelihood of the evidence given by that probability.

In order to properly appreciate the precise inferential move and its wobbly conceptual basis, it will be instructive to consider the use of fiducial probability in interpreting confidence intervals.

The method, using the Nelson-Aalen estimator for the probabilities of transition, interprets the data showing it can integrate the effect of time and the other covariates.

p Values of <0.05 (two-sided probability) were interpreted as being statistically significant.

Figure H1: Keynes' view of probability Weatherson (2002) interprets Keynes as favouring some sort of IP view since sets of functions (or intervals of values) naturally give rise to the sorts of incomparabilities that Keynes takes to be features of belief.

So as the VC industry saw very few of its investments implode and many increase in value, it was willing to fund ever-more risky investments because it incorrectly planned for the probability of continued success, and interpreted the information along the way to confirm that world view.