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36 month buy-and-hold returns are calculated for a recent sample of initial public offerings (IPOs) on UK stock markets in order to test the robustness of earlier results which suggest that IPOs deliver abnormally low long-run returns. A bootstrapped and skew-adjusted t statistic is employed. Overall, there is little evidence of significant abnormal long-run performance. Further tests reveal th...

In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the fuzzy data without transforming them into a real-valued scalar (a representative value). Usually fuzzy data (described by fuzzy random variables) do not have a distributional model available, and also the size of the fuzzy sample data is small. Based on the bootstrap methodology, we design a nonparametric S...

To join an unstructured peer-to-peer network like Gnutella, peers have to execute a bootstrapping function in which they discover other on-line peers and connect to them. Until this bootstrapping step is complete, a peer cannot participate in file sharing activities. Once completed, a peer’s search and download experience is strongly influenced by the choice of neighbor peers resulting from the...

In this work, we look at the problem of multi-class image classification in a semisupervised learning framework. Given a small set of labeled images, and a much larger set of unlabeled images, we propose a semi-supervised learning method that combines bootstrapping with sample evaluation, to continuously update the learned models for each class. Bootstrapping involves using self-labeled images ...

This article proposes a new method for word translation disambiguation, one that uses a machinelearning technique called bilingual bootstrapping. In learning to disambiguate words to be translated, bilingual bootstrapping makes use of a small amount of classified data and a large amount of unclassified data in both the source and the target languages. It repeatedly constructs classifiers in the...