Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting
–Neural Information Processing Systems
The committee approach has been proposed for reducing model uncertainty and improving generalization performance. The ad(cid:173) vantage of committees depends on (1) the performance of individ(cid:173) ual members and (2) the correlational structure of errors between members. This paper presents an input grouping technique for de(cid:173) signing a heterogeneous committee. With this technique, all input variables are first grouped based on their mutual information. Sta(cid:173) tistically similar variables are assigned to the same group.
Neural Information Processing Systems
Apr-6-2023, 17:18:12 GMT
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