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It is crucial that the foundationalist discover a kind of truth that can be known without inference.
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A complete application of the method which substitutes constructions for inferences would exhibit matter wholly in terms of sense-data, and even, we may add, of the sense-data of a single person, since the sense-data of others cannot be known without some element of inference.
As originally developed, maximum likelihood (ML) phylogeny inference assumes that the data are known without error (Felsenstein 1981).
Unlike declarative memories, which can be known directly, procedural memories can be known only by inference.
This process of propagation is known as inference.
This is known as active inference (Friston et al., 2011).
A second formalism commonly applied to inferential problems is known as Bayesian inference.
This approach has been known variously as model inference, causal inference or structure inference.
This error of logic is known as a reverse inference in science and very often reverse inferences are shown to be entirely flawed.
The process is known as local ancestry inference (LAI).
This problem is known as supervised network inference (Vert and Yamanishi, 2005).
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CEO of Professional Science Editing for Scientists @ prosciediting.com