Examples of using Inference in English and their translations into Hebrew
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Colloquial
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Ecclesiastic
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Computer
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Programming
Usually, an inference requires students to“read between the lines” and reach a conclusion based on their own experiences and clues from the text.
Inference, the dead man knew something about it,
Inference: PM 's version of modus ponens."'⊦. p' and'⊦(p⊃ q)' have occurred, then'⊦. q' will
The journal P.S. Political Science had a symposium on big data, causal inference, and formal theory,
And there are very efficient inference mechanisms for determining validity
supplementary set of beliefs and practices, but such an inference would be unwarranted.
Though these words may sound like logical inference, this does not contravene the laws of things.
After obtaining results from an inference procedure, we may be left with multiple assumptions, some of which may be contradictory.
statistical models are part of the foundation of statistical inference.
a fairly plausible inference from the present state of scientific theory.".
Or performing some form of latent-trait inference(as in the case of Chinese censorship).
Logical critic, or logic proper, on validity or justifiability of inference, the conditions for true representation.
Some expert systems are able to improve their knowledge base and develop new inference rules based on their experience with previous problems.
so without any kind of scientific control, the inference is unfounded.
The second main solution is to do what data scientists call user-attribute inference and what social scientists call imputation.
The historical nature of macroevolutionary study involves inference from fossils and DNA rather than direct observation….
conceptions of cause and force are reached through hypothetical inference;
the scientific method instead relies on observation and logical inference.
Some expert systems are able to improve their knowledge base and develop new inference rules based on their experience with previous problems.
These differences are based on making assumptions about the inference principles used to generalize from limited data.