Excited to see @chrs_bock presenting our Time Series kernel based on optimal transport at @icdm2019 in Beijing. The Wasserstein distance can be used to capture similarities between time series and leads to strong classification! #MachineLearning #OptimalTransport #TimeSeries https://t.co/92ovPuYmnz
