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Universal hidden monotonic trend estimation with contrastive learning
In this paper, we describe a universal method for extracting the underlying monotonic trend factor from time series data.
An optimization algorithm for multimodal functions inspired by collective animal behavior
Interest in multimodal function optimization is expanding rapidly since real world optimization problems often demand locating multiple optima within a search space.
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