Re:Unlocking the power of time-series data with multimodal m...
by fny on Monday December 02, 2024 @09:42PM
(#42302630)
This is not curve fitting or forecasting: it's pattern matching.
It's also a serious methodological approach. A fall on a sensor graph has a certain look to it just like an abnormality on an EKG that a human can detect. You can train multimodal models to detect these too with decent accuracy. What's methodologically unsound about that? If anything, it demonstrates you don't necessarily need a class of hyper-specific models to do pattern matching.
It's also a serious methodological approach. A fall on a sensor graph has a certain look to it just like an abnormality on an EKG that a human can detect. You can train multimodal models to detect these too with decent accuracy. What's methodologically unsound about that? If anything, it demonstrates you don't necessarily need a class of hyper-specific models to do pattern matching.