Unusual score generators for a neuro-linguistic behavorial recognition system
AssigneeIntellective Ai, Inc.
InventorsMing-Jung Seow, Gang Xu, Tao Yang, Wesley Kenneth Cobb
Life of this patent
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AssigneeIntellective Ai, Inc.
InventorsMing-Jung Seow, Gang Xu, Tao Yang, Wesley Kenneth Cobb
Estimating the term…
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.
A processor-implemented method, comprising:
A processor-implemented method, comprising:
A processor-implemented method, comprising:
Dependencies are inferred from the claim text.