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Each variable is represented to analyze its behaviour, to detect anomalous data and remove a non-informative variable (e.g. constant variables, zero variables or redundant variables).
In hindsight I've been able to discern past instances of sexual harassment, having never been taught the language and subtle nuances of abusive behaviour to detect it at the time.
The study will be powered on outcomes on patient behaviour to detect an absolute 52-week, post-intervention, between-group difference of 15% (50 – 65%) in patients' self reported adherence to life-style advice on smoking, diet, alcohol and physical exercise (alpha = 0.05, power = 0.80).
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However, a direct test of the effect of early confirmation on later behaviour failed to detect a benefit [ 107] perhaps because the associated improvement in language was only to a rather low level, e.g. mean aggregate receptive language z score in children with early confirmed hearing impairments remained 1.76 SD below the mean score in the normally hearing comparison group.
This paper introduces a novel automated anomaly detection method that uses Gaussian Mixture Models for modelling the normal behaviour of employees to detect anomalous behaviour that may be malicious.
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.
GLS data sets (Supplementary Figure S3) showed similar behaviour to that detected in flowering, except that RFR showed the same performance as the remaining methods.
Schaller's inspired suggestion was that certain behaviours allow us to detect cues of likely infection, respond to those cues and thus avoid pathogen infection.
On account of the fact that internalising behaviour can be harder to detect than overt externalising traits, some simple screening questions into the child's behaviour should be posed to the parents during long-term follow up of Kawasaki disease.
Several tests have been devised in an attempt to detect behaviour modification due to training, supplements or diet in horses.
Clustering techniques are applied to support the definition of benchmark behaviour, which is used to detect the presence of anomalies within the refuelling data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com