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    • A new approach to machine learning via group equivariant non-expansive operators and topological data analysis
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    • Alta Scuola Politecnica: Winter School 2019
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Home » Publications » Planning stock portfolios by means of weighted frequent itemsets

Planning stock portfolios by means of weighted frequent itemsets

Elena Baralis, Luca Cagliero, and Paolo Garza (2017) Planning stock portfolios by means of weighted frequent itemsets, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 1-17, ISSN: 0957-4174

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