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The core methods for pattern recognition have been developed by machine learning experts but due to their broad success, an increasing number of non-experts are now employing and refining them.
In this perspective, I will discuss the challenge of correct validation of supervised pattern recognition systems, in particular when employed by non-experts.
A process associated with the collection and production of intelligence that confirms that an intelligence collection or production requirement is sufficiently important to justify the dedication of intelligence resources, does not duplicate an existing requirement, and has not been previously satisfied.2.
In computer modeling and simulation, the process of determining the degree to which a model or simulation is an accurate representation of the real world from the perspective of the intended uses of the model or simulation.3.
See also independent review; time-phased force and deployment data; verification.
policies and processes is critical because they often may conflict; and because of the SOA's loose coupling nature, it will be necessary to dynamically validate configurations or dependencies during deployment cycles.
Execution procedure used by combatant command components, supporting combatant commanders, and providing organizations to confirm to the supported commander and US Transportation Command that all the information records in a time-phased force and deployment data not only are error free for automation purposes, but also accurately reflect the current status, attributes, and availability of units and requirements.
Unit readiness, movementdates, passengers, and cargo details should be confirmed with theunit before validation occurs.
Although some aspects of process validation for continuous processes are the same as those for traditional batch processes, there are some unique considerations.Pattern recognition is the process of mapping input data, a pattern, to a label, the “class” to which the input pattern belongs.Among the common approaches to pattern recognition, supervised machine learning approaches have gained a lot of momentum with headline successes, e.g., on the MNIST data set of handwritten digits (Le Cun and Cortes, 1998), which I will use for illustration later.Clearly defined criteria are necessary to describe the state of control operation and to establish the lot product and process data (e.g., raw materials and processing conditions used) and material traceability.Pharm Tech: Is real-time release testing able to be implemented at this stage? Allison (Pfizer): Pfizer has developed real-time release testing for some marketed products produced in specific manufacturing facilities.
Using this approach, data from production batches can essentially support validation with each manufacturing batch, replacing a conventional process validation approach (e.g., three-batch validation at set-point) that was historically used.