THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
发明人:
Roman GENOV,Gerard O'LEARY
申请号：
US16214374
公开号：
US20190246989A1
申请日:
2018.12.10
申请国别(地区):
US
年份:
2019
代理人:
摘要：
There is provided a system and method for classifying time series data for state identification. The method including: training a machine learning model to classify occurrences of the state； receiving a new time series data stream； determining whether a current sample in the new time series data stream is an occurrence of the state by determining a classified feature vector, the classified feature vector determined by passing the current sample and samples in at least one continuous sampling window into the trained machine learning model, each continuous sampling window including a plurality of preceding samples from the time series data, an epoch for each respective continuous sampling window determined according to a respective exponential decay rate； and outputting the determination of whether the current sample is an occurrence of the state.
