A wavelet probabilistic module, estimating densities of learned latent features and selecting among multiple smoothing scales, improves multivariate time series classification accuracy when fused with LSTM and causal CNN networks.
Ismail Fawaz, G
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Wavelet Probabilistic Recurrent Convolutional Network for Multivariate Time Series Classification
A wavelet probabilistic module, estimating densities of learned latent features and selecting among multiple smoothing scales, improves multivariate time series classification accuracy when fused with LSTM and causal CNN networks.