Titlebook: Discovery Science; 22nd International C Petra Kralj Novak,Tomislav ?muc,Sa?o D?eroski Conference proceedings 2019 Springer Nature Switzerla

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https://doi.org/10.1007/978-3-319-95579-7 hybrid column generation approach using constraint programming to generate columns. It is compared to a standard mixed integer linear programming (MILP) through experiments on synthetic datasets. Overall, fast and valuable solutions are found by column generation while the MILP approach cannot hand

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Toward International Animal Rights the length of the training dataset is large enough and its granularity is fine enough. On the other hand, the results shed light onto the circumstances in which, ARIMA performs close to the optimal with lower complexity.

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https://doi.org/10.1057/9780230372139t decades. Adverse weather conditions studied include frequency and length of periods with exceptional snow, drought, intensive rainfall and extreme heat. This was studied by modeling the wheat production using the adverse weather events as predictors with different lengths of training period (conse