"built-in knowledge" is a correct and usable phrase in written English.
It refers to information or understanding that is inherent or ingrained in someone or something. You can use "built-in knowledge" when discussing a person's natural abilities or skills, or when describing a feature or function of a product or system that is inherent and does not need to be learned or added on. Example: "Her built-in knowledge of languages allowed her to seamlessly navigate through the foreign country."
It does this using built-in knowledge of facial geometry and by filling in the hidden side of a face by copying from the visible side.
Abraham, a former Pro Bowler who played for Jets Coach Herman Edwards when Edwards was the secondary coach at Tampa Bay, comes with built-in knowledge of Edwards's two-deep zone.
(ACME has no built-in knowledge of any natural language).
Note that since ACME doesn't have any built-in knowledge about the meanings of words, it's up to the modeler to supply abstract information about semantics to ACME.
She taught us that a powerful spirit lives in every human being, and that built-in knowledge lives inside all of our hearts.
The basic idea is to monitor input and output variables, and internal states of such systems, processes or sub-processes by acquired and built in knowledge about the normal behaviour in order to detect abnormalities.
Machine learning techniques, instead, use learning mechanisms to capture the behavior of the system without any explicit performance or traffic model and with little built-in system knowledge.
This has required the development of new algorithms that minimize or eliminate subjective input in favor of built-in expert-systems knowledge, the automation of procedures that are traditionally performed by hand, and the development of a computational framework that allows a tight integration between the algorithms.
Built-in questions to evaluate knowledge and understanding will allow investigators to confirm informed consent prior to enrollment.
To accomplish this it uses built-in models of fields of knowledge, complete with data and algorithms, that represent real-world knowledge.
With built-in artificial intelligence in different knowledge domains, intelligent systems are capable of gathering information, processing problems, drawing inferences, and generating solutions (Krishnakumar 2003).
