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We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and their definitions.
Hence, interactions between intermediate concepts makes the knowledge base evolution more complex.
Left to their own nature, human experts introduce intermediate concepts when articulating their knowledge.
When asked to explain such intermediate concepts, experts may oversee a definition of the concept in some contexts outside the current situation which they are explaining.
In the absence of such evidence, the accounts of such reconstructions currently take on the status of meta-narratives and in that sense a 'mise-en-scene', which lack not only the principles but also intermediate concepts needed for the intelligence they currently possess to systematically evolve as innovations capable of being scaled-up to the size, weight and extent required.
They modeled the methodology used by clinicians by deriving intermediate concepts in the first phase, and in the second phase they used the intermediate concepts for staging dementia.
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Finally, another significant concept related to conceptual design, i.e., abstract principle, is also introduced as an intermediate concept.
Thereafter, an explicit concept of function is elaborated as an intermediate concept between the intentional world and the objective world.
In this paper, it is a logical step to introduce an intermediate concept, namely a free quasi 3-crossed complexes.
Using progressive alignment, an analogy may consist of more than one analogical step, beginning with a comparison of a base concept and a highly similar intermediate concept.
By taking into account the fact that η-cocoercivity is an intermediate concept that lies between η-strong monotonicity and η-monotonicity, in this paper, we introduce H -η-cocoercive operator and its resolvent operator.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com