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iBoost: Boosting Using an instance-Based Exponential Weighting Scheme
[chapter]
2002
Lecture Notes in Computer Science
Recently, Freund, Mansour and Schapire established that using exponential weighting scheme in combining classifiers reduces the problem of overfitting. Also, Helmbold, Kwek and Pitt that showed in the prediction using a pool of experts framework an instance based weighting scheme improves performance. Motivated by these results, we propose here an instance-based exponential weighting scheme in which the weights of the base classifiers are adjusted according to the test instance x. Here, a
doi:10.1007/3-540-36755-1_21
fatcat:lcyg4i7linfh7dryat7ypv3bxa