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• W2425214580 abstract "In this paper, we study the prediction of co-investment of VCs. We present a series of observation analysis, design a large number of features, and then select prominent features for co-investment by group Lasso. Then we propose a factor graph model SBFG based on structural balance theory to formalize the observation into a unified model. Experiment results show that the proposed method can accurately (around 90% in terms of accuracy) predict the co-investment in the near future with only 10 features selected by group Lasso, and obtains a significant improvement over the baselines." @default.
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• W2425214580 date "2016-05-01" @default.
• W2425214580 modified "2023-09-25" @default.
• W2425214580 title "The prediction of venture capital co-investment based on structural balance theory" @default.
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• W2425214580 doi "https://doi.org/10.1109/icde.2016.7498429" @default.
• W2425214580 hasPublicationYear "2016" @default.
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