Download e-book for iPad: An uneasy alliance: the mathematics research center at the by Jagdish Chandra, Stephen M. Robinson

By Jagdish Chandra, Stephen M. Robinson

ISBN-10: 0898715350

ISBN-13: 9780898715354

Within the submit global conflict II period, the math learn middle (MRC) was once one of many earliest finished examples of collaboration among the govt and a college. via taking a vast view of arithmetic that embraced either the natural and utilized branches, the MRC supplied a version of an interdisciplinary attempt that interacted rather well with the spectrum of sciences. This booklet bargains with the complicated and difficult organizational and clinical matters that arose within the operation of this heart.

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Extra info for An uneasy alliance: the mathematics research center at the University of Wisconsin 1956-1987

Example text

In fact, with the exception of scenario 2, the adoption of RD has consistently shown superiority. It is worth noting that the number of iterations in this scenario is only 50. This suggests that the larger number of iterations can results in a better performance. We argue that with the larger number of iterations, the feature engineering process is stabilised. Table 2 First experiments set results Scenario Wins Losses Ties 8 9 4 3 6 1 7 5 10 2 6 6 6 6 6 5 5 5 4 3 4 4 2 3 3 1 4 4 4 4 5 5 7 6 6 9 6 6 7 8 32 K.

31 Table 1 Scenario reference table Scenario# Number of sub-forests Number of trees per sub-forest 1 2 3 4 5 6 7 8 9 10 10 10 10 10 10 20 20 20 20 20 50 50 50 50 50 25 25 25 25 25 Number of iterations 25 50 100 150 1000 25 50 100 150 1000 in Table 1. We then compared the performance of DRF before and after applying RD to see if there is a performance gain and recorded the number of wins, losses, and ties sorted by number of wins in descending order as shown in Table 2. As shown in the table, the number of wins of the new DRF (after applying RD) exceeded the number of losses in the majority of the scenarios.

18 Scenario Wins Losses Ties 10 1 6 7 3 9 4 2 8 5 9 8 8 8 8 8 7 6 6 5 4 4 4 4 5 4 4 4 6 6 2 3 3 3 2 3 4 5 3 4 6 Related Work Random Forest has proved to be the state-of-the-art classification technique when compared with other methods in a recent large scale experimental study [10]. Previous work to enhance its performance has been also reported recently in [9]. However, feature engineering through an evolutionary method like Replicator Dynamics has not been attempted. As aforementioned, RD has been used extensively in the domain of evolutionary game theory [13–16, 21, 24, 27].

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An uneasy alliance: the mathematics research center at the University of Wisconsin 1956-1987 by Jagdish Chandra, Stephen M. Robinson

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