By Holiday Reinhorn
Big Cats opens with "Charlotte," within which a tender woman with a damaged pelvis spies on her voluptuous neighbor in the course of an extended, sizzling summer time evening, surroundings the tone of irrepressible interest and craving that's obvious in the course of the assortment.
In "Get clear of Me, David," a financial institution supervisor attempts to beat his haunted prior as he bargains with the aftermath of a minor earthquake and the physique of a shopper who died within the foyer. Big Cats pits teenage ladies opposed to one another in an escalating catfight on the zoo the place they paintings, culminating in a blowout in entrance of the lion cage.
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Additional info for Big Cats: Stories
It is worth pointing out that results reported in this section captured all the experiments that have been carried out. However, due to space limitation, the results of each scenario are summarized in a separate table, followed by a detailed table of winning solutions that represent the signiﬁcant diﬀerence in accuracy that has been achieved frequently. In the ﬁrst set of experiments, we used the ﬁrst variation given by Eqs. 8 and 9 above. Here we chose ???? = ???? = 1, therefore, only 1 tree may be added/removed in each iteration.
Similar to Table 2, Table 6 compares the performance of DRF with itself before and after applying RD. This represents the typical implementation of the RD, where the subforest with a considerable over average accuracy can grow with more than one tree in each iteration. Table 7 shows the accuracy of the winning datasets. As demonstrated in the previously discussed experiments, the increase in accuracy is signiﬁcant in some of the datasets, suggesting the eﬀectiveness of RD in the feature engineering process.
DRF is built using random subspacing with each subspace used to construct a subforest. DRF was used to impose diversity in Random Forests. Noting that subspaces may vary in their discriminative power, we applied RD to perform collective feature engineering, allowing stronger subspaces to grow and weaker ones to shrink, and potentially disappear. As was demonstrated in Tables 2, 4, 6, and 8, favourable results were obtained demonstrating the potential of the proposed method. In our experiments, we have A Replicator Dynamics Approach to Collective Feature .
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