interpretability

To ensure interpretability, it is common to have multiple items that address a single idea.

This will result in higher eigenvalues but diminished interpretability of the factors.

Therefore, interpretability of the results is very important; methods that ignore the image structure are not favored.

The interpretability method is often used to establish undecidability of theories.

Nevertheless, in spite of those drawbacks, they are often preferred for the straightforward interpretability.

Where the implementation of such strategic highs is in question the centre will limit the action space around interpretability and local discretion.

This, however, is not a rule: more than one sense may be established, as the normal interpretability of all the following examples shows:

Weak interpretability can be shown to be a special, binary case of tolerance.

This concept, together with weak interpretability, was introduced by Alfred Tarski in 1953.

It must be pointed out that interpretability of the Mamdani-type neuro-fuzzy systems can be lost.

Interpretability: Are the results understandable to users?

In the past his contributions were primarily into the areas of provability logic and interpretability logic.

Therefore, it is not an issue of psychometrics, per se, but an issue of interpretability.

The six dimensions of data quality are relevance, accuracy, timeliness, accessibility, interpretability, and coherence.

Contrary to optical applications, defocusing can actually increase the precision and interpretability of the micrographs.

There is controversy about the most appropriate control for acupuncture, which also limits the interpretability of the results of clinical trials.

Many model-theoretic properties are preserved under interpretability.

G.Japaridze, A generalized notion of weak interpretability and the corresponding logic.

However, these changes only improve the interpretability, not the predictivity, of the PLS models.

The strength of neuro-fuzzy systems involves two contradictory requirements in fuzzy modeling: interpretability versus accuracy.

Viewpoints establish the rules of conformance for views (such as well-formedness, completeness, interpretability).

Interpretability logics present natural extensions of provability logic.

In mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other.

A generalization of weak interpretability, tolerance, was introduced by Giorgi Japaridze in 1992.

Their interpretability, however, must not be exaggerated; their meanings are not necessarily wholly predictable on first acquaintance.