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Fundamental limits to learning closed-form mathematical models from data
We show that this model-learning problem displays a transition from a low-noise phase in which the true model can be learned, to a phase in which the observation noise is too high for the true model to be learned by any method.
Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies
Many studies have shown that there are regularities in the way human beings make decisions.
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