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UNUSUAL SCORE GENERATORS FOR A NEURO-LINGUISTIC BEHAVIORAL RECOGNITION SYSTEM
UNUSUAL SCORE GENERATORS FOR A NEURO-LINGUISTIC BEHAVIORAL RECOGNITION SYSTEM
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机译：神经语言行为识别系统的异常分数生成器
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摘要
Techniques are disclosed for generating anomaly scores for a neuro-linguistic model of input data obtained from one or more sources. According to one embodiment, generating anomaly scores includes receiving a stream of symbols generated from an ordered stream of normalized vectors generated from input data received from one or more sensor devices during a first time period. Upon receiving the stream of symbols, generating a set of words based on an occurrence of groups of symbols from the stream of symbols, determining a number of previous occurrences of a first word of the set of words, determining a number of previous occurrences of words of a same length as the first word, and determining a first anomaly score based on the number of previous occurrences of the first word and the number of previous occurrences of words of the same length as the first word.
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