interpretable's Usage Examples:

explainability in ML can be considered as “the collection of features of the interpretable domain, that have contributed for a given example to produce a decision.

of animals requires that the bits transmitted by a transponder are interpretable by a transceiver.

Such evidence is expected to be empirical evidence and interpretable in accordance with scientific method.

Unlike a sporting race, which constitutes a specific event with winning interpretable as the outcome of a singular project, arms races constitute spiralling.

For example if the theory of N is stable and M is interpretable in N, then the theory of M is also stable.

It leverages rich, machine-interpretable descriptions of data, services, and processes to enable software agents.

(the International Organization for Standardization) for the computer-interpretable representation and exchange of industrial product data about cutting.

AM is more flexible than a standard linear model, while being more interpretable than a general regression surface at the cost of approximation errors.

reference are considered bounded, while words that allow for a fluidly interpretable referent are considered unbounded.

For computer-interpretable syntaxes, the most popular are TeX/LaTeX and MathML (Mathematical Markup.

A group G is then called a tame group if no bad field is interpretable in G.

information on the nature of the subject referent, "John smokes" being interpretable as "John is a smoker", "Enjoh habitually gets up early in the morning".

ISO 10303 is an ISO standard for the computer-interpretable representation and exchange of product manufacturing information.

including death, individualism, and existentialism, and were often multi-interpretable.

Knowledge modeling is a process of creating a computer interpretable model of knowledge or standard specifications about a kind of process and/or about.

term which literally translates as 'principles of the faith', roughly interpretable as 'theology'.

whereas the main quality of a descriptive statistic is that it is easily interpretable.

focuses on developing machine learning models and algorithms that are interpretable, transparent, fair, and reliable.

S_{n}} of these theories with each S i + 1 {\displaystyle S_{i+1}} interpretable in S i {\displaystyle S_{i}} .

Slightly simplified, T is said to be weakly interpretable in S if, and only if, the language of T can be translated into the language.

Synonyms:

explicable; explainable;

Antonyms:

incomprehensible; insoluble; inexplicable;