Exact(4)
Generally, two methods to train a system exist: supervised learning where data is manually tagged as 'normal' or 'anomalous' and unsupervised learning where the detection system itself has to evaluate which data is normal and which is not.
The reliability of manually annotated data becomes very important especially when they are used to train a system.
Therefore in order to train a system for detection of neonatal seizures, it is necessary to know the channels involved in the seizure.
Second, although doctors may be willing to train a system to their voice patterns and speaking styles, patients certainly will not have the opportunity or time to do so.
Similar(56)
From the outset, there was an awareness that this amount of data might not be enough to adequately train a system and this was kept in mind in assessing results.
Having chosen a feature set and HMM topology to model the events of interest, a significant effort is required to train a HMM system.
The goal of machine learning is to train a computer system to distinguish i.e. classify cases based on known examples.
It should be possible to train a classification system to recognize specific features corresponding to the motivating publication annotation types, and to more highly rank publications with these features.
This paper examines the current state of network intrusion detection research, highlighting various MLAs that can be utilized not only to detect security incidents, but to proactively monitor networks, or train a system to improve their detection processes.
It used this data to train an AI system to constantly scan new links shared in News Feed, looking for ones that match the low-quality site training data set.
In order to achieve this result without the support of human beings, you need to train an AI system to ask the same questions a doctor would ask and back the results up with reliable and clinically assured medical information," he says.
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Justyna Jupowicz-Kozak
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