Web: http://arxiv.org/abs/2205.02679

May 6, 2022, 1:11 a.m. | Adèle Douin, J. P. Bruneton, Frédéric Lechenault

cs.LG updates on arXiv.org arxiv.org

Knitted fabric exhibits avalanche-like events when deformed: by analogy with
eathquakes, we are interested in predicting these "knitquakes". However, as in
most analogous seismic models, the peculiar statistics of the corresponding
time-series severely jeopardize this endeavour, due to the time intermittence
and scale-invariance of these events. But more importantly, such predictions
are hard to {\it assess}: depending on the choice of what to predict, the
results can be very different and not easily compared. Furthermore, forecasting
models may be trained …

arxiv design framework game learning machine machine learning policy prediction risk

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